US8478603B2 - Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle - Google Patents

Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle Download PDF

Info

Publication number
US8478603B2
US8478603B2 US12/490,617 US49061709A US8478603B2 US 8478603 B2 US8478603 B2 US 8478603B2 US 49061709 A US49061709 A US 49061709A US 8478603 B2 US8478603 B2 US 8478603B2
Authority
US
United States
Prior art keywords
vehicle
greenhouse gas
payment
running total
monitoring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related, expires
Application number
US12/490,617
Other versions
US20100332241A1 (en
Inventor
Gregory Jensen Boss
II Rick Allen Hamilton
Jacquelyn Annette Martino
Clifford Alan Pickover
Anne R. Sanders
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by International Business Machines Corp filed Critical International Business Machines Corp
Priority to US12/490,617 priority Critical patent/US8478603B2/en
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION reassignment INTERNATIONAL BUSINESS MACHINES CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HAMILTON, RICK ALLEN, II, BOSS, GREGORY JENSEN, MARTINO, JACQUELYN ANNETTE, PICKOVER, CLIFFORD ALAN, SAND, ANNE R.
Priority to TW099120149A priority patent/TW201120675A/en
Publication of US20100332241A1 publication Critical patent/US20100332241A1/en
Application granted granted Critical
Publication of US8478603B2 publication Critical patent/US8478603B2/en
Expired - Fee Related legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Definitions

  • the present invention relates generally to anthropogenic greenhouse gases, and more particularly to monitoring and reporting to an operator anthropogenic greenhouse gas emission.
  • calculating anthropogenic greenhouse gas emission with respect to a vehicle relies primarily on operator input in the form of miles/kilometers per gallon (MPG/KPG) and distance traveled.
  • MPG/KPG miles/kilometers per gallon
  • the conventional method does not take into account operating habits and at best calculates only an estimated greenhouse gas emission.
  • the present invention provides a method for monitoring greenhouse gas emission from a vehicle, said method comprising:
  • monitoring the vehicle for greenhouse gas emission comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
  • a processor of a computer system providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
  • the present invention provides a process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computing system, wherein the code in combination with the computing system is configured to perform a method for monitoring greenhouse gas emission from a vehicle, said method comprising:
  • monitoring the vehicle for greenhouse gas emission comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
  • a processor of a computer system providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
  • FIG. 1 illustrates a method for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention.
  • FIG. 2 illustrates a method for notifying an operator of a vehicle when said vehicle is emitting excessive greenhouse gases, in accordance with embodiments of the present invention.
  • FIG. 3 illustrates a computer system which may facilitate the method for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention.
  • FIG. 1 illustrates a method 100 for monitoring and reporting to an operator anthropogenic greenhouse gas emission from a vehicle, in accordance with embodiments of the present invention.
  • the method 100 begins with step 102 which comprises inventorying a vehicle's specifications.
  • the type and amount of gaseous species contained within the anthropogenic greenhouse gas emission is a function of the particular type of fuel being used to energize the vehicle as well as equipment in the vehicle that processes greenhouse gas products resulting from consumption of the fuel by the vehicle.
  • Said gaseous species may include carbon dioxide, water vapor, etc.
  • carbon dioxide is the only greenhouse gaseous species monitored.
  • carbon dioxide and other specified greenhouse gas products resulting from the fuel consumption are monitored.
  • inventorying a vehicle's specifications comprises identifying, inter alia, the vehicle's unladened (i.e., without added content such as passengers, cargo, etc.) gross weight, fuel tank capacity, recommended fuel octane or cetane rating, proper compression ratio in the vehicle's engine cylinders, the number of cylinders present in the vehicle's engine, oil tank capacity, proper air flow capacity through the vehicle's intake, etc.
  • the inventoried information is then stored in a database 104 .
  • the database 104 stored in is a computer readable storage medium of the computer system 900 described infra in conjunction with FIG. 3 .
  • the computer system 900 may be disposed in the vehicle.
  • the database 104 resides within the vehicle being inventoried.
  • the database 104 resides in a location outside of the vehicle being inventoried, but communication between said database 104 and said vehicle is achieved by means of a wireless connection.
  • step 102 The specifications inventoried pursuant to step 102 will be used in connection with an operator's characteristics gathered in step 106 , infra, to determine the amount of anthropogenic greenhouse gas emission the monitored vehicle emits into the atmosphere. Additionally, the specifications inventoried pursuant to step 102 may be utilized by the method 100 to identify steps an operator can tale to minimize anthropogenic greenhouse gas emission. After completion of step 102 , the method 100 continues with step 106 which comprises monitoring the vehicle in transit (i.e., in motion).
  • step 106 monitors the exhaust gases emitted from the vehicle in transit and identifies the presence and quantity of anthropogenic greenhouse gases contained therein.
  • the monitoring may be performed by means of utilizing at least one greenhouse gas sensor located within the exhaust system of the vehicle.
  • the monitoring may be selective to different gas species that are specified for being monitored.
  • the greenhouse gas species monitored may include carbon dioxide but not include water vapor.
  • the greenhouse gas species monitored may include both carbon dioxide and water vapor.
  • the gas species monitored may include water vapor oxide but not include carbon dioxide.
  • the total quantity of all emitted greenhouse gases is monitored.
  • a numeric value of a running total representing the quantity of anthropogenic greenhouse gas emission released by the vehicle, into an external environment that is external to the vehicle, is stored in the database 104 as the gas emission is being monitored (selectively or in total) in step 106 .
  • This numeric value may be the quantity of anthropogenic greenhouse gas emitted since the vehicle's engine was last started during the current use.
  • the numeric value represents the quantity of anthropogenic greenhouse gas emitted during the current use of the vehicle being monitored since the vehicle's engine was started during the current use.
  • the database 104 may comprise a numerical value representing a measure of a ‘running total’ of anthropogenic greenhouse gas emissions (as measured by the volume or weight or other pertinent measure of the anthropogenic greenhouse gas emissions) from the monitored vehicle since the last payment to a collecting entity was paid in step 109 , infra. If payment to a collecting entity has yet to be made, the ‘running total’ value represents all anthropogenic greenhouse gas emissions by the monitored vehicle since monitoring began in step 106 .
  • the database 104 may comprise additional values which may be useful to the operator of the monitored vehicle in minimizing the emission of anthropogenic greenhouse gases.
  • additional values may include, inter alia, an overall total quantity of anthropogenic greenhouse gas emitted by the monitored vehicle since: the vehicle's last purchase; a measure of a total quantity of anthropogenic greenhouse gas emissions from the monitored vehicle (as measured by the volume or weight or other pertinent measure of the anthropogenic greenhouse gas emissions) over a specified period of previous time (e.g., in the past one month, six months, one year, etc.); a quantity of green house gas emitted by the vehicle since an engine of the vehicle was last started; a quantity of green house gas emitted by the vehicle since a payment triggering condition was previously detected in step 107 (discussed infra) before the current monitoring in step 106 was initiated.
  • monitoring the vehicle in transit includes identifying at least one way in which the operator may change operating habits and/or vehicle features to improve fuel efficiency to decrease anthropogenic greenhouse gas emission. See the discussion of FIG. 2 , infra, for a detailed description of this embodiment of the present invention.
  • Step 107 tests for satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the stored running total.
  • Completion of step 106 may result from detecting, in step 107 , satisfaction of the payment triggering condition; e.g., when the monitored vehicle arrives at a location which contains a payment system to facilitate submission of a payment in step 109 , infra.
  • the location may be a fuel station equipped with a payment system to facilitate the transmission of a payment for anthropogenic greenhouse gas emissions.
  • detection of said payment system e.g., by a detection sensor in the vehicle after the vehicle has entered the fuel station
  • detection of satisfaction of the payment triggering condition in step 107 may comprise detection of a parameter having a value in relation to (e.g., exceeding) a specified threshold.
  • the parameter may be, inter alia, a time elapsed since the last payment to a collecting entity (resulting in completion of step 106 if this parameter exceeds a specified time elapsed threshold); a measure of anthropogenic greenhouse gas emitted by the monitored vehicle (resulting in completion of step 106 if this parameter exceeds a specified gas emission measure threshold); a monetary removal cost of removing the ‘running total’ of a quantity of anthropogenic greenhouse gas from the atmosphere (resulting in completion of step 106 if this parameter exceeds a specified monetary removal cost threshold), etc.
  • step 107 If satisfaction of the payment triggering condition is not detected in step 107 , then the method 100 loops back to step 106 to continue to monitor the anthropogenic greenhouse gas emissions from the vehicle in transit, followed by execution of step 107 to test for satisfaction of the payment triggering condition.
  • step 108 comprises determining a required payment due to a collecting entity as a result of the monitoring performed in step 106 .
  • the amount of the required payment determined in step 108 is a function of (i.e., based on) the measure of the ‘running total’ of anthropogenic greenhouse gas emissions and may reflect a monetary removal cost (i.e., cost of removing from the atmosphere the ‘running total’ of the emitted anthropogenic greenhouse gas).
  • the monetary removal cost may be a function of the ‘running total’ of anthropogenic greenhouse gas emissions stored in the database 104 as well as the distribution of the various gaseous species being monitored.
  • the amount of the required payment on step 108 may also include profit to an entity responsible for removing the ‘running total’ quantity of anthropogenic greenhouse gas from the atmosphere and/or tax collected by one or more governmental entities (e.g., the federal government, a state government, a local government, etc.).
  • the tax may be a function of at least one of: the measure of the ‘running total’ quantity of anthropogenic greenhouse gas emission from the vehicle; the monetary removal cost; etc.
  • the required payment determined in step 108 may be stored in the database 104 .
  • a payment is submitted to a “collecting entity” in step 109 in response to the payment due that was determined in step 108 .
  • the collecting entity may be an individual or an organization (e.g., business organization, governmental organization, labor union, social organization, charitable organization, etc.) or a database stored in a computer readable medium, a data processing system such as a computer or computer system, etc, owned or controlled by said individual or organization.
  • the responsible party for submitting the payment to the collecting party in step 109 may be the owner of the vehicle.
  • the responsible party for submitting the payment may be notified of the payment in any manner known in the art for notifying a party that a payment is due from the party.
  • the collecting entity is notified by the computer system 900 (see FIG. 3 , described infra) of the payment due that was determined in step 108 , which results in the collecting entity notifying the responsible party of the payment that is due (e.g., by sending a bill to the responsible party).
  • the computer system 900 alerts the operator or owner of the vehicle that the payment is due (e.g., by flashing a visual message on the dashboard of the vehicle or pay vocalizing a message using speakers in the vehicle).
  • the payment submitted in step 109 may provide for the removal of a percentage of the ‘running total’ quantity of anthropogenic greenhouse gas from the vehicle or from the atmosphere. This embodiment would allow for the situation where an operator of the vehicle pays for the emission of or removal of less and/or more than the operator's contribution of anthropogenic greenhouse gas released into the atmosphere.
  • the operator may select the collecting entity to whom payment is made prior to initiation of the method 100 ; prior to the first iteration of step 109 ; or at each iteration of step 109 .
  • a list of collecting entities specializing in anthropogenic greenhouse gas removal may be presented to the operator.
  • the operator may select a collecting entity which is not identified on a list provided to said operator.
  • the operator may supply a collecting entity in lieu of receiving a list of entities specializing in anthropogenic greenhouse gas removal.
  • the payment may be submitted to a collecting entity which itself does not specialize in anthropogenic greenhouse gas removal, but facilitates the receipt and disbursement of funds to remove anthropogenic greenhouse gas from the atmosphere.
  • step 109 submission of the payment to the collecting entity may be made by means of a wireless electronic funds transaction (EFT).
  • EFT wireless electronic funds transaction
  • Other forms of payment submission may also be utilized by step 109 , for example including the payment value in the next purchase made by the operator at a point of sale (POS) location.
  • POS point of sale
  • notice of the required payment is provided to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
  • said notice of the required payment is so provided by a processor of a computer system (e.g., the computer system 104 or anther computer system).
  • step 109 resets the ‘running total’ value (or measure thereof) stored in the database 104 to zero (0.00) and the method 100 ends.
  • FIG. 2 illustrates a method 200 for notifying an operator of a vehicle when said vehicle is emitting excessive greenhouse gases, in accordance with embodiments of the present invention.
  • the method 200 begins with step 202 which comprises identifying optimum operating characteristics.
  • Optimum operating characteristics comprises vehicle specifications which in concert provide the maximum attainable fuel efficiency for the vehicle.
  • the less fuel consumed correlates to a greater distance achieved per tank of fuel, which correlates to better fuel efficiency, which results in less anthropogenic greenhouse gases being released into the atmosphere to travel the same distance.
  • the optimum operating characteristics may be obtained from, inter alia, the vehicle manufacturer, statistical data stored in the database 104 , statistical data available on the Internet, a third party provider, etc.
  • every vehicle has an unladened gross weight, which by its very nature is the lightest weight a given vehicle can attain. Therefore, operating a vehicle weighing close to its unladened gross weight would be preferred over operating a vehicle weight upwards of six hundred pounds (600.00 lbs) in excess of the vehicle's unladened gross weight.
  • a vehicle has a unique optimum speed at which the vehicle operates at a minimum fuel consumption rate defined as the least amount of fuel consumed per distance (e.g., mile, km, etc.) traveled.
  • a given vehicle may utilize less fuel per distance traveled at a constant seventy miles per hour (70.00 mph/112.65 kph) than the vehicle utilizes at a constant eighty five miles per hour (85.00 mph/136.97 kph). Assuming the vehicle's weight remains constant, then seventy miles per hour (70.00 mph/112.65 kph) is closer to the unique optimum speed than is eight five miles per hour (85.00 mph/136.97 kph).
  • Step 202 identifies the unique optimum speed of the vehicle being monitored and stores this information along with all other optimum operating characteristics in the database 104 .
  • Some of the optimum characteristics will be retrieved from the inventoried vehicle specification pursuant to step 102 of method 100 (see FIG. 1 , supra). For example, the unladened gross weight of a vehicle can be retrieved from the inventoried specifications gathered supra rather than identifying such a weight each and every time step 202 is invoked.
  • step 202 is performed once and the results are stored in the database 104 for future reference and/or invocation of method 200 . In an alternative embodiment of the present invention, step 202 is performed during each invocation of method 200 .
  • step 202 is complete and the method 200 continues with step 204 which comprises identifying the current operating characteristics.
  • Step 204 identifies the vehicle's fuel efficiency ratio defined as distance traveled per volumetric amount of fuel consumed (e.g., miles/gallon or kilometers/liter).
  • the fuel efficiency ratio is stored in the database 104 .
  • additional operating characteristics are measured and/or identified.
  • the additional operating characteristics are the same characteristics inventoried in step 102 of method 100 (see FIG. 1 , supra).
  • the additional operating characteristics are the same characteristics identified in 202 . Regardless of the embodiment, the additional characteristics are stored in the database 104 .
  • step 206 comprises determining whether the current characteristics are acceptable in consideration of the optimum characteristics.
  • step 206 compares the vehicle's fuel efficiency ratio to an optimum fuel efficiency ratio which is the inverse of the minimum fuel consumption rate defined supra. If the current fuel efficiency ratio is not less than a specified percent (e.g., 70%, 75%, 80%, 85%, 90%, 95%, 99%, 100%, etc.) of the optimum fuel efficiency ratio, then step 206 returns a response ‘yes’, followed by step 206 which concludes the method 200 .
  • a specified percent e.g., 70%, 75%, 80%, 85%, 90%, 95%, 99%, 100%, etc.
  • step 206 returns a response ‘no’ and the method 200 continues with step 208 which comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency.
  • step 206 if the current fuel efficiency ratio is not less than a specified number of standard deviations (e.g., one standard deviation, 0.5 standard deviation, 0.1 standard deviation, 0.01 standard deviation, etc.) below the optimum fuel efficiency ratio, then step 206 returns a response ‘yes’, followed by step 206 which concludes the method 200 .
  • a specified number of standard deviations e.g., one standard deviation, 0.5 standard deviation, 0.1 standard deviation, 0.01 standard deviation, etc.
  • step 206 if the current fuel efficiency ratio is less than the specified number of standard deviations below the optimum fuel efficiency ratio, then step 206 returns a response ‘no’ and the method 200 continues with step 208 which comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency.
  • Step 208 comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency. Prior to notification, step 208 queries the database 104 and compares each optimum operating characteristic to the current operating characteristic in order to identify those current characteristics which may be altered to improve fuel efficiency.
  • Each operating characteristic (C) which is identified for being altered is determined in step 208 to deviate from its associated optimum operating characteristic (C OPT ) by more than a specified deviation measure (D), which may be a specified magnitude, percentage, number of standard deviations, etc.
  • the deviation (D) of C from C OPT may be a one-sided deviation or a two-sided deviation. For example if the specified deviation measure (D) is a specified magnitude, then a two-sided deviation satisfies
  • the specified deviation measure (D) is variable and varies with operating characteristic, which reflects the fact that the fuel efficiency ratio is affected to a different degree by different operating characteristics.
  • the optimum vehicle weight (e.g. unladened gross weight) may be compared to the current vehicle weight. If the current vehicle weight exceeds the optimum vehicle weight by more than the specified deviation measure, the operator will be notified that removing excess weight from the vehicle (e.g. emptying out the trunk) will improve fuel efficiency.
  • step 208 After identifying the current characteristics in need of alteration, step 208 notifies the operator of the vehicle of the identified current characteristics in need of alteration, by sending a message to, inter alia, a display device or an audio device located inside the vehicle.
  • the display device will display the current characteristic and the desired characteristic.
  • the display may state “Decreasing your speed to 70.00 mph/112.651 kph will improve your fuel efficiency”. Additionally, if the vehicle's tire pressure is below the optimum pressure by more than the specified deviation measure, the notification may state “Inflate the vehicle tires to improve fuel efficiency”.
  • the notification pursuant to step 208 may be made in the form of a color chart correlating to the speed at which the vehicle is travelling. Again, if the operator is travelling at eighty five miles per hour (85.00 mph/136.97 kph) and the optimum speed for fuel efficiency is seventy miles per hour (70.00 mph/112.65 kph), the display may show the color ‘red’ which signifies that the current rate of travel is not fuel efficient.
  • the display may change from ‘red’ to ‘orange’ and possibly ‘green’ signifying the current speed of seventy miles per hour (70.00 mph/112.65 kph) is optimum for fuel efficiency.
  • step 208 the method 200 returns to step 204 to identify the current operating characteristics in light of the notification to the operator.
  • FIG. 3 illustrates a computer system 900 which may facilitate the method 100 for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention.
  • the computer system 900 may reside in the vehicle being monitored for anthropogenic greenhouse gas emission.
  • the computer system 900 comprises a processor 908 , an input device 906 coupled to the processor 908 , an output device 910 coupled to the processor 908 , and memory devices 902 and 912 each coupled to the processor 908 .
  • the input device 906 may be, inter alia, a keyboard, a mouse, a keypad, a touch screen, a voice recognition device, a sensor, a network interface card (NIC), a Voice/video over Internet Protocol (VOIP) adapter, a wireless adapter, a telephone adapter, a dedicated circuit adapter, etc.
  • NIC network interface card
  • VOIP Voice/video over Internet Protocol
  • the output device 910 may be, inter alia, a printer, a plotter, a computer screen, a magnetic tape, a removable hard disk, a floppy disk, a NIC, a VOIP adapter, a wireless adapter, a telephone adapter, a dedicated circuit adapter, an audio and/or visual signal generator, a light emitting diode (LED), etc.
  • the memory devices 902 and 912 may be, inter alia, a cache, a dynamic random access memory (DRAM), a read-only memory (ROM), a hard disk, a floppy disk, a magnetic tape, an optical storage such as a compact disc (CD) or a digital video disc (DVD), etc.
  • the memory device 912 includes a computer code 914 which is a computer program that comprises computer-executable instructions.
  • the computer code 914 includes, inter alia, an algorithm used for monitoring and reporting to an operator anthropogenic greenhouse gas emission according to the present invention.
  • the processor 908 executes the computer code 914 .
  • the memory device 902 includes input data 904 .
  • the input data 904 includes input required by the computer code 914 .
  • the output device 910 displays output from the computer code 914 .
  • Either or both memory devices 902 and 912 may be used as a computer usable medium (or a computer readable medium or a program storage device) having a computer readable program embodied therein and/or having other data stored therein, wherein the computer readable program comprises the computer code 914 .
  • a computer program product (or, alternatively, an article of manufacture) of the computer system 900 may comprise said computer usable medium (or said program storage device).
  • any of the components of the present invention can be deployed, managed, serviced, etc. by a service provider that offers to deploy or integrate computing infrastructure with respect to a process for monitoring and reporting to an operator anthropogenic greenhouse gas emission.
  • the present invention discloses a process for supporting computer infrastructure, comprising integrating, hosting, maintaining and deploying computer-readable code into a computing system (e.g., computing system 900 ), wherein the code in combination with the computing system is capable of performing the method for monitoring and reporting to an operator anthropogenic greenhouse gas emission.
  • the invention provides a business method that performs the process steps of the invention on a subscription, advertising and/or fee basis.
  • a service provider such as a Solution Integrator
  • the service provider can offer to create, maintain, support, etc. a process for monitoring and reporting to an operator anthropogenic greenhouse gas emission.
  • the service provider can create, maintain, support, etc. a computer infrastructure that performs the process steps of the invention for one or more customers.
  • the service provider can receive payment from the customer(s) under a subscription and/or fee agreement, and/or the service provider can receive payment from the sale of advertising content to one or more third parties.
  • FIG. 3 shows the computer system 900 as a particular configuration of hardware and software
  • any configuration of hardware and software as would be known to a person of ordinary skill in the art, may be utilized for the purposes stated supra in conjunction with the particular computer system 900 of FIG. 3 .
  • the memory devices 902 and 912 may be portions of a single memory device rather than separate memory devices.

Abstract

A method and system for monitoring greenhouse gas emission from a vehicle. The vehicle is monitored for greenhouse gas emission, which includes identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle and activating a payment triggering condition when the emission exceeds the expected total. Satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the identified running total of greenhouse gas emitted is detected. Responsive to detecting the satisfaction of the payment triggering condition the required payment is computed as a function of the stored running total of greenhouse gas emitted.

Description

BACKGROUND OF THE INVENTION
The present invention relates generally to anthropogenic greenhouse gases, and more particularly to monitoring and reporting to an operator anthropogenic greenhouse gas emission.
Conventionally, calculating anthropogenic greenhouse gas emission with respect to a vehicle relies primarily on operator input in the form of miles/kilometers per gallon (MPG/KPG) and distance traveled. The conventional method does not take into account operating habits and at best calculates only an estimated greenhouse gas emission.
Additionally, should an operator wish to offset a vehicle's greenhouse gas emission, the operator must actively seek out ways to do such using only the estimated greenhouse gas emission value. Moreover, the conventional method only identifies the estimated greenhouse gas emission and remains silent on how an operator may reduce greenhouse gas emissions.
SUMMARY OF THE INVENTION
The present invention provides a method for monitoring greenhouse gas emission from a vehicle, said method comprising:
monitoring the vehicle for greenhouse gas emission, said monitoring comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
detecting satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the stored running total of greenhouse gas emitted;
responsive to said detecting satisfaction of the payment triggering condition, computing the required payment as a function of the stored running total of greenhouse gas emitted; and
a processor of a computer system providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
The present invention provides a process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computing system, wherein the code in combination with the computing system is configured to perform a method for monitoring greenhouse gas emission from a vehicle, said method comprising:
monitoring the vehicle for greenhouse gas emission, said monitoring comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
detecting satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the identified running total of greenhouse gas emitted;
responsive to said detecting satisfaction of the payment triggering condition, computing the required payment as a function of the stored running total of greenhouse gas emitted; and
a processor of a computer system providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 illustrates a method for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention.
FIG. 2 illustrates a method for notifying an operator of a vehicle when said vehicle is emitting excessive greenhouse gases, in accordance with embodiments of the present invention.
FIG. 3 illustrates a computer system which may facilitate the method for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
Although certain embodiments of the present invention are described herein, it is understood that modifications may be made to the present invention without departing from its course and scope. Scope of the present invention is not limited to the number of constituting components, the materials thereof, the shapes thereof, the relative arrangement thereof, etc. Furthermore, while the accompanying drawings illustrate certain embodiments of the present invention, such drawings are not necessarily depicted to scale.
FIG. 1 illustrates a method 100 for monitoring and reporting to an operator anthropogenic greenhouse gas emission from a vehicle, in accordance with embodiments of the present invention. The method 100 begins with step 102 which comprises inventorying a vehicle's specifications. The type and amount of gaseous species contained within the anthropogenic greenhouse gas emission is a function of the particular type of fuel being used to energize the vehicle as well as equipment in the vehicle that processes greenhouse gas products resulting from consumption of the fuel by the vehicle. Said gaseous species may include carbon dioxide, water vapor, etc. In one embodiment, carbon dioxide is the only greenhouse gaseous species monitored. In one embodiment, carbon dioxide and other specified greenhouse gas products resulting from the fuel consumption are monitored.
In one embodiment of the present invention, inventorying a vehicle's specifications comprises identifying, inter alia, the vehicle's unladened (i.e., without added content such as passengers, cargo, etc.) gross weight, fuel tank capacity, recommended fuel octane or cetane rating, proper compression ratio in the vehicle's engine cylinders, the number of cylinders present in the vehicle's engine, oil tank capacity, proper air flow capacity through the vehicle's intake, etc.
The inventoried information is then stored in a database 104. The database 104 stored in is a computer readable storage medium of the computer system 900 described infra in conjunction with FIG. 3. The computer system 900 may be disposed in the vehicle. In one embodiment of the present invention, the database 104 resides within the vehicle being inventoried. In another embodiment of the present invention, the database 104 resides in a location outside of the vehicle being inventoried, but communication between said database 104 and said vehicle is achieved by means of a wireless connection.
The specifications inventoried pursuant to step 102 will be used in connection with an operator's characteristics gathered in step 106, infra, to determine the amount of anthropogenic greenhouse gas emission the monitored vehicle emits into the atmosphere. Additionally, the specifications inventoried pursuant to step 102 may be utilized by the method 100 to identify steps an operator can tale to minimize anthropogenic greenhouse gas emission. After completion of step 102, the method 100 continues with step 106 which comprises monitoring the vehicle in transit (i.e., in motion).
In one embodiment of the present invention, step 106 monitors the exhaust gases emitted from the vehicle in transit and identifies the presence and quantity of anthropogenic greenhouse gases contained therein. The monitoring may be performed by means of utilizing at least one greenhouse gas sensor located within the exhaust system of the vehicle. In one embodiment, the monitoring may be selective to different gas species that are specified for being monitored. For example, the greenhouse gas species monitored may include carbon dioxide but not include water vapor. Alternatively, the greenhouse gas species monitored may include both carbon dioxide and water vapor. In another alternative, the gas species monitored may include water vapor oxide but not include carbon dioxide. In one embodiment, the total quantity of all emitted greenhouse gases is monitored.
A numeric value of a running total representing the quantity of anthropogenic greenhouse gas emission released by the vehicle, into an external environment that is external to the vehicle, is stored in the database 104 as the gas emission is being monitored (selectively or in total) in step 106. This numeric value may be the quantity of anthropogenic greenhouse gas emitted since the vehicle's engine was last started during the current use. Thus, the numeric value represents the quantity of anthropogenic greenhouse gas emitted during the current use of the vehicle being monitored since the vehicle's engine was started during the current use.
The database 104 may comprise a numerical value representing a measure of a ‘running total’ of anthropogenic greenhouse gas emissions (as measured by the volume or weight or other pertinent measure of the anthropogenic greenhouse gas emissions) from the monitored vehicle since the last payment to a collecting entity was paid in step 109, infra. If payment to a collecting entity has yet to be made, the ‘running total’ value represents all anthropogenic greenhouse gas emissions by the monitored vehicle since monitoring began in step 106.
In one embodiment of the present invention, the database 104 may comprise additional values which may be useful to the operator of the monitored vehicle in minimizing the emission of anthropogenic greenhouse gases. Such additional values may include, inter alia, an overall total quantity of anthropogenic greenhouse gas emitted by the monitored vehicle since: the vehicle's last purchase; a measure of a total quantity of anthropogenic greenhouse gas emissions from the monitored vehicle (as measured by the volume or weight or other pertinent measure of the anthropogenic greenhouse gas emissions) over a specified period of previous time (e.g., in the past one month, six months, one year, etc.); a quantity of green house gas emitted by the vehicle since an engine of the vehicle was last started; a quantity of green house gas emitted by the vehicle since a payment triggering condition was previously detected in step 107 (discussed infra) before the current monitoring in step 106 was initiated.
In another embodiment of the present invention, monitoring the vehicle in transit includes identifying at least one way in which the operator may change operating habits and/or vehicle features to improve fuel efficiency to decrease anthropogenic greenhouse gas emission. See the discussion of FIG. 2, infra, for a detailed description of this embodiment of the present invention.
Step 107 tests for satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the stored running total. Completion of step 106 may result from detecting, in step 107, satisfaction of the payment triggering condition; e.g., when the monitored vehicle arrives at a location which contains a payment system to facilitate submission of a payment in step 109, infra. For example, the location may be a fuel station equipped with a payment system to facilitate the transmission of a payment for anthropogenic greenhouse gas emissions. When the monitored vehicle enters the fuel station, detection of said payment system (e.g., by a detection sensor in the vehicle after the vehicle has entered the fuel station) may be the payment triggering condition of step 107 that results in completion of step 106.
Alternatively, detection of satisfaction of the payment triggering condition in step 107 may comprise detection of a parameter having a value in relation to (e.g., exceeding) a specified threshold. The parameter may be, inter alia, a time elapsed since the last payment to a collecting entity (resulting in completion of step 106 if this parameter exceeds a specified time elapsed threshold); a measure of anthropogenic greenhouse gas emitted by the monitored vehicle (resulting in completion of step 106 if this parameter exceeds a specified gas emission measure threshold); a monetary removal cost of removing the ‘running total’ of a quantity of anthropogenic greenhouse gas from the atmosphere (resulting in completion of step 106 if this parameter exceeds a specified monetary removal cost threshold), etc.
If satisfaction of the payment triggering condition is not detected in step 107, then the method 100 loops back to step 106 to continue to monitor the anthropogenic greenhouse gas emissions from the vehicle in transit, followed by execution of step 107 to test for satisfaction of the payment triggering condition.
In response to detection of satisfaction of the payment triggering condition in step 107, the method 100 continues with step 108 which comprises determining a required payment due to a collecting entity as a result of the monitoring performed in step 106. The amount of the required payment determined in step 108 is a function of (i.e., based on) the measure of the ‘running total’ of anthropogenic greenhouse gas emissions and may reflect a monetary removal cost (i.e., cost of removing from the atmosphere the ‘running total’ of the emitted anthropogenic greenhouse gas). The monetary removal cost may be a function of the ‘running total’ of anthropogenic greenhouse gas emissions stored in the database 104 as well as the distribution of the various gaseous species being monitored.
The amount of the required payment on step 108 may also include profit to an entity responsible for removing the ‘running total’ quantity of anthropogenic greenhouse gas from the atmosphere and/or tax collected by one or more governmental entities (e.g., the federal government, a state government, a local government, etc.). The tax may be a function of at least one of: the measure of the ‘running total’ quantity of anthropogenic greenhouse gas emission from the vehicle; the monetary removal cost; etc.
The required payment determined in step 108 may be stored in the database 104.
In one embodiment of the present invention, a payment is submitted to a “collecting entity” in step 109 in response to the payment due that was determined in step 108. The collecting entity may be an individual or an organization (e.g., business organization, governmental organization, labor union, social organization, charitable organization, etc.) or a database stored in a computer readable medium, a data processing system such as a computer or computer system, etc, owned or controlled by said individual or organization. The responsible party for submitting the payment to the collecting party in step 109 may be the owner of the vehicle. The responsible party for submitting the payment may be notified of the payment in any manner known in the art for notifying a party that a payment is due from the party. In one embodiment, the collecting entity is notified by the computer system 900 (see FIG. 3, described infra) of the payment due that was determined in step 108, which results in the collecting entity notifying the responsible party of the payment that is due (e.g., by sending a bill to the responsible party). In another embodiment, the computer system 900 alerts the operator or owner of the vehicle that the payment is due (e.g., by flashing a visual message on the dashboard of the vehicle or pay vocalizing a message using speakers in the vehicle).
In another embodiment of the present invention, the payment submitted in step 109 may provide for the removal of a percentage of the ‘running total’ quantity of anthropogenic greenhouse gas from the vehicle or from the atmosphere. This embodiment would allow for the situation where an operator of the vehicle pays for the emission of or removal of less and/or more than the operator's contribution of anthropogenic greenhouse gas released into the atmosphere.
The operator may select the collecting entity to whom payment is made prior to initiation of the method 100; prior to the first iteration of step 109; or at each iteration of step 109. A list of collecting entities specializing in anthropogenic greenhouse gas removal may be presented to the operator.
In another embodiment of the present invention, the operator may select a collecting entity which is not identified on a list provided to said operator. In another embodiment of the present invention, the operator may supply a collecting entity in lieu of receiving a list of entities specializing in anthropogenic greenhouse gas removal. In yet another embodiment of the present invention, the payment may be submitted to a collecting entity which itself does not specialize in anthropogenic greenhouse gas removal, but facilitates the receipt and disbursement of funds to remove anthropogenic greenhouse gas from the atmosphere.
In order to reduce the need for operator interaction, submission of the payment to the collecting entity may be made by means of a wireless electronic funds transaction (EFT). Other forms of payment submission may also be utilized by step 109, for example including the payment value in the next purchase made by the operator at a point of sale (POS) location.
Generally, notice of the required payment is provided to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof. In one embodiment, said notice of the required payment is so provided by a processor of a computer system (e.g., the computer system 104 or anther computer system).
After the payment is successfully submitted to the collecting entity, step 109 resets the ‘running total’ value (or measure thereof) stored in the database 104 to zero (0.00) and the method 100 ends.
FIG. 2 illustrates a method 200 for notifying an operator of a vehicle when said vehicle is emitting excessive greenhouse gases, in accordance with embodiments of the present invention. The method 200 begins with step 202 which comprises identifying optimum operating characteristics.
Optimum operating characteristics comprises vehicle specifications which in concert provide the maximum attainable fuel efficiency for the vehicle. The less fuel consumed correlates to a greater distance achieved per tank of fuel, which correlates to better fuel efficiency, which results in less anthropogenic greenhouse gases being released into the atmosphere to travel the same distance. The optimum operating characteristics may be obtained from, inter alia, the vehicle manufacturer, statistical data stored in the database 104, statistical data available on the Internet, a third party provider, etc.
For example, every vehicle has an unladened gross weight, which by its very nature is the lightest weight a given vehicle can attain. Therefore, operating a vehicle weighing close to its unladened gross weight would be preferred over operating a vehicle weight upwards of six hundred pounds (600.00 lbs) in excess of the vehicle's unladened gross weight.
Similarly, a vehicle has a unique optimum speed at which the vehicle operates at a minimum fuel consumption rate defined as the least amount of fuel consumed per distance (e.g., mile, km, etc.) traveled. For example, a given vehicle may utilize less fuel per distance traveled at a constant seventy miles per hour (70.00 mph/112.65 kph) than the vehicle utilizes at a constant eighty five miles per hour (85.00 mph/136.97 kph). Assuming the vehicle's weight remains constant, then seventy miles per hour (70.00 mph/112.65 kph) is closer to the unique optimum speed than is eight five miles per hour (85.00 mph/136.97 kph).
Step 202 identifies the unique optimum speed of the vehicle being monitored and stores this information along with all other optimum operating characteristics in the database 104. Some of the optimum characteristics will be retrieved from the inventoried vehicle specification pursuant to step 102 of method 100 (see FIG. 1, supra). For example, the unladened gross weight of a vehicle can be retrieved from the inventoried specifications gathered supra rather than identifying such a weight each and every time step 202 is invoked.
In one embodiment of the present invention, step 202 is performed once and the results are stored in the database 104 for future reference and/or invocation of method 200. In an alternative embodiment of the present invention, step 202 is performed during each invocation of method 200.
After identifying each optimum characteristic which in concert provide the maximum attainable fuel efficiency for the vehicle and storing such results in the database 104, step 202 is complete and the method 200 continues with step 204 which comprises identifying the current operating characteristics.
Step 204 identifies the vehicle's fuel efficiency ratio defined as distance traveled per volumetric amount of fuel consumed (e.g., miles/gallon or kilometers/liter). The fuel efficiency ratio is stored in the database 104. Next, additional operating characteristics are measured and/or identified. In one embodiment of the present invention, the additional operating characteristics are the same characteristics inventoried in step 102 of method 100 (see FIG. 1, supra). In an alternative embodiment of the present invention, the additional operating characteristics are the same characteristics identified in 202. Regardless of the embodiment, the additional characteristics are stored in the database 104. After step 204 concludes, the method 200 continues with step 206 which comprises determining whether the current characteristics are acceptable in consideration of the optimum characteristics.
In one embodiment of the present invention, step 206 compares the vehicle's fuel efficiency ratio to an optimum fuel efficiency ratio which is the inverse of the minimum fuel consumption rate defined supra. If the current fuel efficiency ratio is not less than a specified percent (e.g., 70%, 75%, 80%, 85%, 90%, 95%, 99%, 100%, etc.) of the optimum fuel efficiency ratio, then step 206 returns a response ‘yes’, followed by step 206 which concludes the method 200.
However, if the current fuel efficiency ratio is less than the specified percent of the optimum fuel efficiency ratio, then step 206 returns a response ‘no’ and the method 200 continues with step 208 which comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency.
In an alternative embodiment of the present invention, if the current fuel efficiency ratio is not less than a specified number of standard deviations (e.g., one standard deviation, 0.5 standard deviation, 0.1 standard deviation, 0.01 standard deviation, etc.) below the optimum fuel efficiency ratio, then step 206 returns a response ‘yes’, followed by step 206 which concludes the method 200.
However for the preceding alternative embodiment, if the current fuel efficiency ratio is less than the specified number of standard deviations below the optimum fuel efficiency ratio, then step 206 returns a response ‘no’ and the method 200 continues with step 208 which comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency.
Step 208 comprises notifying the operator of the vehicle of ways in which to improve fuel efficiency. Prior to notification, step 208 queries the database 104 and compares each optimum operating characteristic to the current operating characteristic in order to identify those current characteristics which may be altered to improve fuel efficiency.
Each operating characteristic (C) which is identified for being altered is determined in step 208 to deviate from its associated optimum operating characteristic (COPT) by more than a specified deviation measure (D), which may be a specified magnitude, percentage, number of standard deviations, etc. The deviation (D) of C from COPT may be a one-sided deviation or a two-sided deviation. For example if the specified deviation measure (D) is a specified magnitude, then a two-sided deviation satisfies |C−COPT|>D, and a one-sided deviation satisfies C<C−COPT or C>C+COPT depending on the nature of the specified deviation measure (D). Similar considerations apply if the he specified deviation measure (D) is a specified percentage or number of standard deviations.
In one embodiment, the specified deviation measure (D) is variable and varies with operating characteristic, which reflects the fact that the fuel efficiency ratio is affected to a different degree by different operating characteristics.
For example, the optimum vehicle weight (e.g. unladened gross weight) may be compared to the current vehicle weight. If the current vehicle weight exceeds the optimum vehicle weight by more than the specified deviation measure, the operator will be notified that removing excess weight from the vehicle (e.g. emptying out the trunk) will improve fuel efficiency.
After identifying the current characteristics in need of alteration, step 208 notifies the operator of the vehicle of the identified current characteristics in need of alteration, by sending a message to, inter alia, a display device or an audio device located inside the vehicle. In one embodiment of the present invention, the display device will display the current characteristic and the desired characteristic.
For example, if the operator is travelling at eighty five miles per hour (85.00 mph/136.97 kph) and the optimum speed for fuel efficiency is seventy miles per hour (70.00 mph/112.65 kph), the display may state “Decreasing your speed to 70.00 mph/112.651 kph will improve your fuel efficiency”. Additionally, if the vehicle's tire pressure is below the optimum pressure by more than the specified deviation measure, the notification may state “Inflate the vehicle tires to improve fuel efficiency”.
Alternatively, the notification pursuant to step 208 may be made in the form of a color chart correlating to the speed at which the vehicle is travelling. Again, if the operator is travelling at eighty five miles per hour (85.00 mph/136.97 kph) and the optimum speed for fuel efficiency is seventy miles per hour (70.00 mph/112.65 kph), the display may show the color ‘red’ which signifies that the current rate of travel is not fuel efficient. When the operator slows down the vehicle to a speed closer to seventy miles per hour (70.00 mph/112.65 kph), the display may change from ‘red’ to ‘orange’ and possibly ‘green’ signifying the current speed of seventy miles per hour (70.00 mph/112.65 kph) is optimum for fuel efficiency.
After completion of step 208, the method 200 returns to step 204 to identify the current operating characteristics in light of the notification to the operator.
FIG. 3 illustrates a computer system 900 which may facilitate the method 100 for monitoring and reporting to an operator anthropogenic greenhouse gas emission, in accordance with embodiments of the present invention. The computer system 900 may reside in the vehicle being monitored for anthropogenic greenhouse gas emission.
The computer system 900 comprises a processor 908, an input device 906 coupled to the processor 908, an output device 910 coupled to the processor 908, and memory devices 902 and 912 each coupled to the processor 908.
The input device 906 may be, inter alia, a keyboard, a mouse, a keypad, a touch screen, a voice recognition device, a sensor, a network interface card (NIC), a Voice/video over Internet Protocol (VOIP) adapter, a wireless adapter, a telephone adapter, a dedicated circuit adapter, etc.
The output device 910 may be, inter alia, a printer, a plotter, a computer screen, a magnetic tape, a removable hard disk, a floppy disk, a NIC, a VOIP adapter, a wireless adapter, a telephone adapter, a dedicated circuit adapter, an audio and/or visual signal generator, a light emitting diode (LED), etc.
The memory devices 902 and 912 may be, inter alia, a cache, a dynamic random access memory (DRAM), a read-only memory (ROM), a hard disk, a floppy disk, a magnetic tape, an optical storage such as a compact disc (CD) or a digital video disc (DVD), etc. The memory device 912 includes a computer code 914 which is a computer program that comprises computer-executable instructions.
The computer code 914 includes, inter alia, an algorithm used for monitoring and reporting to an operator anthropogenic greenhouse gas emission according to the present invention. The processor 908 executes the computer code 914. The memory device 902 includes input data 904. The input data 904 includes input required by the computer code 914. The output device 910 displays output from the computer code 914. Either or both memory devices 902 and 912 (or one or more additional memory devices not shown in FIG. 3) may be used as a computer usable medium (or a computer readable medium or a program storage device) having a computer readable program embodied therein and/or having other data stored therein, wherein the computer readable program comprises the computer code 914. Generally, a computer program product (or, alternatively, an article of manufacture) of the computer system 900 may comprise said computer usable medium (or said program storage device).
Any of the components of the present invention can be deployed, managed, serviced, etc. by a service provider that offers to deploy or integrate computing infrastructure with respect to a process for monitoring and reporting to an operator anthropogenic greenhouse gas emission. Thus, the present invention discloses a process for supporting computer infrastructure, comprising integrating, hosting, maintaining and deploying computer-readable code into a computing system (e.g., computing system 900), wherein the code in combination with the computing system is capable of performing the method for monitoring and reporting to an operator anthropogenic greenhouse gas emission.
In another embodiment, the invention provides a business method that performs the process steps of the invention on a subscription, advertising and/or fee basis. That is, a service provider, such as a Solution Integrator, can offer to create, maintain, support, etc. a process for monitoring and reporting to an operator anthropogenic greenhouse gas emission. In this case, the service provider can create, maintain, support, etc. a computer infrastructure that performs the process steps of the invention for one or more customers. In return, the service provider can receive payment from the customer(s) under a subscription and/or fee agreement, and/or the service provider can receive payment from the sale of advertising content to one or more third parties.
While FIG. 3 shows the computer system 900 as a particular configuration of hardware and software, any configuration of hardware and software, as would be known to a person of ordinary skill in the art, may be utilized for the purposes stated supra in conjunction with the particular computer system 900 of FIG. 3. For example, the memory devices 902 and 912 may be portions of a single memory device rather than separate memory devices.
While particular embodiments of the present invention have been described herein for purposes of illustration, many modifications and changes will become apparent to those skilled in the art. Accordingly, the appended claims are intended to encompass all such modifications and changes as fall within the true spirit and scope of this invention.

Claims (19)

What is claimed is:
1. A method for monitoring greenhouse gas emission from a vehicle, said method comprising:
a processor of a computer system monitoring the vehicle for greenhouse gas emission, said monitoring comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
said processor detecting satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the stored running total of greenhouse gas emitted, wherein the detected payment triggering condition comprises a payment system detection condition or an excess emission condition, wherein the payment system detection condition is a detection of a payment system configured to collect the required payment, and wherein the excess emission condition is that the stored running total of greenhouse gas emitted exceeds a specified gas measure threshold;
responsive to said detecting satisfaction of the payment triggering condition, said processor computing the required payment as a function of the stored running total of greenhouse gas emitted that exceeds the specified gas emission measure threshold; and
said processor of a computer system providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
2. The method of claim 1,
wherein the method comprises: prior to said monitoring, said processor receiving a specification of at least one greenhouse gas to be monitored;
wherein said monitoring comprises selectively monitoring the vehicle for greenhouse gas emission of the specified at least one greenhouse gas; and
wherein said identifying comprises identifying the running total of the quantity of the specified at least one greenhouse gas emitted by the vehicle into the external environment.
3. The method of claim 1, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle since the vehicles was last purchased.
4. The method of claim 1, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle since the payment triggering condition had been previously detected prior to said monitoring.
5. The method of claim 1, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle over a specified period of previous time.
6. The method of claim 1, wherein the payment triggering condition comprises detection of a payment system in a fuel station by a detection sensor in the vehicle after the vehicle has entered the fuel station.
7. The method of claim 1, wherein the payment triggering condition comprises a monetary removal cost of removing a quantity of greenhouse gas from the atmosphere exceeding a specified monetary removal cost threshold, and wherein the quantity of greenhouse gas is equal to the stored running total of greenhouse gas emitted.
8. The method of claim 7, wherein said computing the required payment comprises computing the required payment as a function of the monetary removal cost.
9. A computer program product comprising a computer readable physically tangible storage medium having a computer-readable program code stored therein, said computer-readable program code containing instructions that when executed by a processing unit of a computing system implement the method of claim 1, wherein the computing system comprises the computer system, and wherein the processing unit is the processor.
10. A computing system, comprising a processing unit coupled to a computer-readable physically tangible memory unit, said memory unit comprising a software application, said software application comprising instructions that when executed by the processing unit, implement the method of claim 1, wherein the computing system comprises the computer system, and wherein the processing unit is the processor.
11. A process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computing system, wherein the code in combination with the computing system is configured to perform a method for monitoring greenhouse gas emission from a vehicle, said method comprising:
a processor of the computing system monitoring the vehicle for greenhouse gas emission, said monitoring comprising identifying a running total of greenhouse gas emitted by the vehicle into an external environment that is external to the vehicle;
said processor detecting satisfaction of a payment triggering condition that triggers collection of a required payment pertaining to the identified running total of greenhouse gas emitted, wherein the detected payment triggering condition comprises a payment system detection condition or an excess emission condition, wherein the payment system detection condition is a detection of a payment system configured to collect the required payment, and wherein the excess emission condition is that the stored running total of greenhouse gas emitted exceeds a specified gas measure threshold;
responsive to said detecting satisfaction of the payment triggering condition, said processor computing the required payment as a function of the stored running total of greenhouse gas emitted that exceeds the specified gas emission measure threshold; and
said processor providing notice of the required payment to a party selected from the group consisting of an operator of the vehicle, an owner of the vehicle, a collecting party authorized to collect the required payment, a responsible party responsible for submitting the required payment to the collecting party, and combinations thereof.
12. The process of claim 11,
wherein the method comprises: prior to said monitoring, said processor receiving a specification of at least one greenhouse gas to be monitored;
wherein said monitoring comprises selectively monitoring the vehicle for greenhouse gas emission of the specified at least one greenhouse gas; and
wherein said identifying comprises identifying the running total of the quantity of the specified at least one greenhouse gas emitted by the vehicle into the external environment.
13. The process of claim 11, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle since the vehicles was last purchased.
14. The process of claim 11, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle since the payment triggering condition had been previously detected prior to said monitoring.
15. The process of claim 11, wherein the running total denotes a quantity of greenhouse gas emitted by the vehicle over a specified period of previous time.
16. The process of claim 11, wherein the payment triggering condition comprises detection of a payment system in a fuel station by a detection sensor in the vehicle after the vehicle has entered the fuel station.
17. The process of claim 11, wherein the payment triggering condition comprises the stored running total exceeding a specified gas emission measure threshold.
18. The process of claim 11, wherein the payment triggering condition comprises a monetary removal cost of removing a quantity of greenhouse gas from the atmosphere exceeding a specified monetary removal cost threshold, and wherein the quantity of greenhouse gas is equal to the stored running total of greenhouse gas emitted.
19. The process of claim 18, wherein said computing the required payment comprises computing the required payment as a function of the monetary removal cost.
US12/490,617 2009-06-24 2009-06-24 Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle Expired - Fee Related US8478603B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US12/490,617 US8478603B2 (en) 2009-06-24 2009-06-24 Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle
TW099120149A TW201120675A (en) 2009-06-24 2010-06-21 Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US12/490,617 US8478603B2 (en) 2009-06-24 2009-06-24 Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle

Publications (2)

Publication Number Publication Date
US20100332241A1 US20100332241A1 (en) 2010-12-30
US8478603B2 true US8478603B2 (en) 2013-07-02

Family

ID=43381712

Family Applications (1)

Application Number Title Priority Date Filing Date
US12/490,617 Expired - Fee Related US8478603B2 (en) 2009-06-24 2009-06-24 Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle

Country Status (2)

Country Link
US (1) US8478603B2 (en)
TW (1) TW201120675A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120323772A1 (en) * 2011-06-15 2012-12-20 Joseph Michael Systems and methods for monitoring, managing, and facilitating transactions involving vehicles
US8647596B1 (en) * 2012-12-28 2014-02-11 The Invention Science Fund I Llc Systems and methods for managing emissions from an engine of a vehicle
US8812352B2 (en) 2009-10-14 2014-08-19 International Business Machines Corporation Environmental stewardship based on driving behavior
US9909885B2 (en) 2009-10-14 2018-03-06 International Business Machines Corporation Determining a travel route
US11276253B2 (en) * 2016-04-05 2022-03-15 Affin As Present invention concerns a system for controlling traffic

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140039988A1 (en) * 2012-07-31 2014-02-06 Empire Technology Development Llc Methods and systems for controlling traffic pollution
CN107234936A (en) * 2016-03-28 2017-10-10 福特环球技术公司 Air pollution reaction system in vehicle
DE102020002846A1 (en) * 2020-05-11 2021-11-11 Daimler Ag Process for operating an emissions certificate exchange platform and emissions certificate exchange platform
KR20220037026A (en) * 2020-09-16 2022-03-24 현대자동차주식회사 Apparatus for displaying information based on augmented reality
TWI807648B (en) * 2022-02-22 2023-07-01 雷舍商務鑑價有限公司 Accounting system with a ghg statistics function and a method for statistics of ghg

Citations (133)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4336522A (en) 1979-10-15 1982-06-22 Graham Kenneth G Vehicle seat-occupancy recorder
US5086389A (en) 1990-05-17 1992-02-04 Hassett John J Automatic toll processing apparatus
US5489777A (en) 1990-12-26 1996-02-06 Denver Seminary Apparatus for remote analysis of vehicle emissions using reflective thermography
US5532690A (en) 1995-04-04 1996-07-02 Itt Corporation Apparatus and method for monitoring and bounding the path of a ground vehicle
US5583765A (en) 1994-08-23 1996-12-10 Grumman Aerospace Corporation Remote system for monitoring the weight and emission compliance of trucks and other vehicles
US5694322A (en) 1995-05-09 1997-12-02 Highwaymaster Communications, Inc. Method and apparatus for determining tax of a vehicle
US5717389A (en) 1994-01-28 1998-02-10 Detemobil Deutsche Telekom Mobilnet Gmbh Method of determining toll charges for vehicles using a traffic route
DE19634340A1 (en) 1996-08-24 1998-02-26 Bosch Gmbh Robert Method and recipient of information for road use fees and recipients
US5825007A (en) 1996-05-06 1998-10-20 Jesadanont; Mongkol Automatic non-computer network no-stop collection of expressway tolls by prepaid cards and method: pay according to category of vehicle and the distance it travels
US5864831A (en) 1993-02-17 1999-01-26 Daimler Benz Ag Device for determining road tolls
US5892463A (en) 1996-09-05 1999-04-06 Mitsubishi Denki Kabushiki Kaisha Mobile navigation system
US5920057A (en) 1993-06-22 1999-07-06 Vos Verkehrs-Optimierungs-System Gmbh & Co. Kg Process and device for measuring the occupancy in passenger transportation means
US6018699A (en) 1996-06-04 2000-01-25 Baron Services, Inc. Systems and methods for distributing real-time site specific weather information
US6078895A (en) 1997-08-20 2000-06-20 Samsung Electronics Co., Ltd. Technique for showing running time by sections on tollway
JP2000172892A (en) 1998-12-08 2000-06-23 Omron Corp Vehicle charge calculating system
US6104299A (en) 1997-01-09 2000-08-15 Schlumberger Systemes Device for monitoring pollution caused by motor vehicles in an urban area
JP2001101561A (en) 1999-09-29 2001-04-13 Koito Ind Ltd Pollutant quantity estimating device, pollutant quantity predicting device, and road traffic controller using them
US6234390B1 (en) 1996-07-26 2001-05-22 Sachsenring Automobiltechnick Ag Process for acquiring and/or paying a fee for exhaust pollutants and a motor vehicle with an exhaust pollutant set which operates using this process
JP2001283377A (en) 2000-03-29 2001-10-12 Omron Corp Information processor and its method
US20010037174A1 (en) 2000-04-04 2001-11-01 Dickerson Stephen L. Communications and computing based urban transit system
JP2002032893A (en) 2000-07-18 2002-01-31 Mitsubishi Heavy Ind Ltd Road traffic amount control method, and system therefor
US6356838B1 (en) 2000-07-25 2002-03-12 Sunil Paul System and method for determining an efficient transportation route
US20020049630A1 (en) 1999-04-28 2002-04-25 Yasuyuki Furuta Charging system
US20020065604A1 (en) 2000-11-30 2002-05-30 Toyota Jidosha Kabushiki Kaisha Route guide apparatus and guidance method
US6405132B1 (en) 1997-10-22 2002-06-11 Intelligent Technologies International, Inc. Accident avoidance system
US20020072963A1 (en) 1999-03-09 2002-06-13 Jonge Wiebren De Traffic information & pricing (TIP) system
US6411889B1 (en) 2000-09-08 2002-06-25 Mitsubishi Denki Kabushiki Kaisha Integrated traffic monitoring assistance, and communications system
US20020084917A1 (en) 2000-12-28 2002-07-04 Hauptman Benjamin J. Method and apparatus for reducing traffic congestion
US20020103769A1 (en) 2001-01-29 2002-08-01 International Business Machines Corporation System and method for automatically adjusting merchandise pricing at a service-oriented interface terminal based upon the quantity of users present at the terminal
US20020115410A1 (en) 1999-11-25 2002-08-22 Fujitsu Limited Portable terminal
US6525673B1 (en) 1999-08-30 2003-02-25 Bernard Feldman Expressway control system
US20030037538A1 (en) 2001-08-16 2003-02-27 Rendahl Craig S. Catalytic converter function detection
US20030040944A1 (en) 2001-08-22 2003-02-27 Hileman Ryan M. On-demand transportation system
US20030065630A1 (en) 2001-10-02 2003-04-03 International Business Machines Corporation Adjusting an amount owed for fueling based on vehicle characteristics
US20030110075A1 (en) 2001-12-12 2003-06-12 Pioneer Corporation Toll collection system, its mobile terminal and toll processing apparatus, terminal processing program for the mobile terminal, and record medium recording the terminal processing program
US20030115095A1 (en) 2001-12-18 2003-06-19 Fujitsu Limited Toll road toll paying method and apparatus using a portable terminal, and a storage medium thereof
US6604045B2 (en) 2001-11-01 2003-08-05 Nissan Motor Co., Ltd. Navigation system, data server, traveling route establishing method and information providing method
US6603405B2 (en) 2000-12-05 2003-08-05 User-Centric Enterprises, Inc. Vehicle-centric weather prediction system and method
US20030191568A1 (en) 2002-04-09 2003-10-09 Breed David S. Method and system for controlling a vehicle
US6693555B1 (en) 2001-12-11 2004-02-17 Koninklijke Philips Electronics N.V. Automatic setting of variable speed limit
US6696981B1 (en) 1999-04-05 2004-02-24 Honda Giken Koyo Kabushiki Kaisha Apparatus for managing entry and exit of a shared vehicle
US20040039517A1 (en) 2000-09-06 2004-02-26 Alfred Biesinger Integrated traffic monitoring system
US6700504B1 (en) 2000-11-01 2004-03-02 Navigation Technologies Corp. Method and system for safe emergency vehicle operation using route calculation
US20040049424A1 (en) 2002-06-21 2004-03-11 Murray Thomas A. System and method for facilitating ridesharing
US20040075582A1 (en) 2002-10-21 2004-04-22 Terry Bergan Variable speed limit system
US20040093264A1 (en) 2002-11-07 2004-05-13 Tessei Shimizu Eco-driving diagnostic system and method, and business system using the same
US6738697B2 (en) 1995-06-07 2004-05-18 Automotive Technologies International Inc. Telematics system for vehicle diagnostics
US20040119609A1 (en) 2001-03-07 2004-06-24 Lawrence Solomon Traffic control system with road tariff depending on the congestion level
US20040167861A1 (en) 2003-02-21 2004-08-26 Hedley Jay E. Electronic toll management
US20040212518A1 (en) 2003-02-26 2004-10-28 Koji Tajima System for notifying tool charge information
US20050003802A1 (en) 2003-07-02 2005-01-06 Joseph Joseph System for managing traffic patterns using cellular telephones
US20050001739A1 (en) 1999-08-24 2005-01-06 Terumasa Sudou Road traffic weather-monitoring system and self-luminous road sign system
US6843101B2 (en) 2000-10-09 2005-01-18 Hoek Bertil CO2 sensor
US20050024189A1 (en) 2000-09-26 2005-02-03 Weber James R. Action recommendation system for a mobile vehicle
US20050049781A1 (en) 2003-08-28 2005-03-03 General Motors Corporation Method and system for providing a carpool service using a telematics system
EP1519288A1 (en) 2003-09-25 2005-03-30 Nagravision S.A. Car-pooling system and process and communication device for carrying out the process
US20050168351A1 (en) 2004-01-26 2005-08-04 Denso Corporation Device and system for toll payment
US20050179563A1 (en) 2005-03-14 2005-08-18 Kelley Kalon L. Motor vehicle occupancy signaling system
US20050187820A1 (en) 2004-02-23 2005-08-25 Krishna Mohan Participating in an incentive program using a portable memory device
US6959282B2 (en) 1998-10-09 2005-10-25 Toyota Jidosha Kabushiki Kaisha Charging device for transferring information relating to the collection of a toll on a moving body
US20050246190A1 (en) 2002-07-20 2005-11-03 Richard Sandor Systems and methods for trading emission reductions
US20050256762A1 (en) 2000-03-27 2005-11-17 Yair Dar Vehicle related services system and methodology
US20050278214A1 (en) 2002-10-25 2005-12-15 Yoshiaki Takida Toll road charge collection system using artificial satellite, charge collecting machine, and charge collecting method
US20060015394A1 (en) 2004-07-15 2006-01-19 Sorensen Roger G Licensed driver detection for high occupancy toll lane qualification
US7003398B2 (en) 2004-02-24 2006-02-21 Avaya Technology Corp. Determining departure times for timetable-based trips
US7053792B2 (en) 2000-09-29 2006-05-30 Aisin Seiki Kabushiki Kaisha Monitoring system for automatic charging apparatus for vehicle
US20060136291A1 (en) 2001-02-15 2006-06-22 Hitachi, Ltd. Vehicle managing method
US20060155486A1 (en) 2004-10-07 2006-07-13 Walsh Alicia M Computer-implemented system and method for analyzing mixtures of gases
US20060173579A1 (en) 2001-02-07 2006-08-03 Desrochers Eric M Air quality monitoring systems and methods
US7127413B1 (en) 1998-01-23 2006-10-24 Toyota Jidosha Kabushiki Kaisha Charge processing device charge processing system and charge processing card
US20060255967A1 (en) 2005-04-22 2006-11-16 Woo Henry S Y Open road vehicle emissions inspection
US20060278705A1 (en) 2003-02-21 2006-12-14 Accenture Global Services Gmbh Electronic Toll Management and Vehicle Identification
US20070061057A1 (en) 2005-08-26 2007-03-15 Palo Alto Research Center Incorporated Vehicle network advertising system
US20070063858A1 (en) 2005-09-20 2007-03-22 Tzong-Sheng Lee Multi-function wireless detecting device
US20070083322A1 (en) 2005-10-11 2007-04-12 Van Ee Jonathan H Freeway optimization program
US20070100687A1 (en) 2003-11-26 2007-05-03 Matsushita Electric Industrial Co., Ltd. Vehicle management system
US7215255B2 (en) 2003-01-21 2007-05-08 Bernard Grush Method and apparatus for a satellite positioning-based metering system for use in transport-related applications
US20070106465A1 (en) 2005-10-10 2007-05-10 Tomtom International B.V. Method of planning a route to a destination
US20070131864A1 (en) 2005-12-08 2007-06-14 Ellis Mark T System and method for detecting and remediating contamination
US20070135990A1 (en) 2005-12-08 2007-06-14 Seymour Shafer B Navigation route information for traffic management
US20070203642A1 (en) 2002-10-21 2007-08-30 Johnson Controls Technology Company Point of Interest Display System
US20070260393A1 (en) 2006-05-04 2007-11-08 Abernethy Michael N Jr Method and process for enabling advertising via landmark based directions
US20070271035A1 (en) 2006-05-22 2007-11-22 Arne Stoschek Navigation system for a motor vehicle, method for operating a navigation system and motor vehicle including a navigation system
US20070268140A1 (en) 2006-05-19 2007-11-22 Wai-Cheung Tang Method of enabling two-state operation of electronic toll collection system
US20070271034A1 (en) 2006-05-17 2007-11-22 Perry Patrick E Adaptive route planning for gps-based navigation
US20070278300A1 (en) 2006-05-31 2007-12-06 Christopher James Dawson Variable rate toll system
US7308358B2 (en) 2002-03-07 2007-12-11 Increment P Corporation Navigator, navigation system, navigation method, data processing apparatus, data processing method, program thereof, and recording medium thereof
AU2007100542A4 (en) 2007-06-20 2007-12-20 Birns, Gideon Mr Offset Products
US20070299607A1 (en) 2006-06-27 2007-12-27 Verizon Laboratories Inc. Driving directions with landmark data
US20080021723A1 (en) 2006-07-24 2008-01-24 Devarakonda Murali K Shared multi-tenant commuting management
US20080033644A1 (en) 2006-08-03 2008-02-07 Bannon Sean A Navigation Routing System Having Environmentally Triggered Routing
US20080091341A1 (en) 2006-06-27 2008-04-17 Microsoft Corporation Route monetization
US7375648B1 (en) 2004-10-28 2008-05-20 Efkon Usa, Inc. Vehicle occupancy identification system
US20080120024A1 (en) 1999-10-19 2008-05-22 American Calcar Inc. Technique for effective navigation based on user preferences
US20080129548A1 (en) 2000-08-10 2008-06-05 Firestone Paul A System and method for identifying vehicles and collecting fees for vehicle uses of land-ways, sea-ways and air-ways
US7385525B2 (en) 2005-07-07 2008-06-10 Mark Iv Industries Corporation Dynamic timing adjustment in an electronic toll collection system
US20080140318A1 (en) 1997-10-22 2008-06-12 Intelligent Technologies International, Inc. Weather Monitoring Techniques
US20080148816A1 (en) 2006-12-22 2008-06-26 Groves Bruce D Air monitoring system and method
US20080161989A1 (en) 1995-06-07 2008-07-03 Automotive Technologies International, Inc. Vehicle Diagnostic or Prognostic Message Transmission Systems and Methods
US7398924B2 (en) 2002-08-22 2008-07-15 International Business Machines Corporation Variable rate toll system
US20080175438A1 (en) 2007-01-23 2008-07-24 Jai Pulnix, Inc. High occupancy vehicle (HOV) lane enforcement
US20080195428A1 (en) 2007-02-12 2008-08-14 O'sullivan Sean Shared transport system and service network
US7415418B2 (en) 2003-02-10 2008-08-19 South Dakota School Of Mines And Technology Method and apparatus for generating standardized environmental benefit credits
US20080208680A1 (en) 2006-06-06 2008-08-28 Ergonotech Inc DriveOn Pay(TM) as WiMAX-compatible Menu-Driven Dashtop Mobile Payment Platform
US20080221948A1 (en) 2001-02-28 2008-09-11 Digonex Technologies, Inc. Dynamic pricing of items based on number of items sold during a time period
US7426489B2 (en) 2000-11-01 2008-09-16 International Carbon Bank And Exchange, Inc. Method and system for banking and exchanging emission reduction credits
US20080236141A1 (en) 2007-03-30 2008-10-02 Xinsheng Peng Method and system for automatically inspecting and registering automotive exhaust emission data
US20090018902A1 (en) 2007-07-09 2009-01-15 Jannine Miller Commuter credits system and method
WO2009065638A1 (en) 2007-11-24 2009-05-28 Routerank Ltd Personalized real-time location-based travel management
US20090210261A1 (en) 2008-02-20 2009-08-20 Rearden Commerce, Inc. System and Method for Multi-Modal Travel Shopping
US7580808B2 (en) * 2007-09-11 2009-08-25 Gm Global Technology Operations, Inc. Onboard trip computer for emissions subject to reduction credits
US20090222338A1 (en) 2008-03-03 2009-09-03 Hamilton Ii Rick A Monitoring and Rewards Methodologies for "Green" Use of Vehicles
US20090287408A1 (en) 2008-05-18 2009-11-19 Volkswagen Of America, Inc. Method for Offering a User Reward Based on a Chosen Navigation Route
US20090295599A1 (en) 2008-06-02 2009-12-03 Electronic Transaction Consultants Dynamic pricing for toll lanes
US20100070128A1 (en) 2008-09-15 2010-03-18 Microsoft Corporation vehicle operation by leveraging traffic related data
US20100085213A1 (en) 2008-10-06 2010-04-08 Richard Turnock High occupancy vehicle status signaling using electronic toll collection infrastructure
US20100106567A1 (en) 2008-10-16 2010-04-29 Mcnew Justin Paul System and method for electronic toll collection based on vehicle load
US20100153191A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Variable toll fee selection from geographic indicia
US20100153193A1 (en) 2008-12-17 2010-06-17 International Business Corporation Variable-rate transport fees based on hazardous travel conditions
US20100153125A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Random and deterministic travel fees
US20100153192A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Travel fee rate setting based upon travel mode and convenience
US20100161391A1 (en) 2008-12-22 2010-06-24 International Business Corporation Variable rate transport fees based on vehicle exhaust emissions
US20100161392A1 (en) 2008-12-22 2010-06-24 International Business Machines Corporation Variable rate travel fee based upon vehicle occupancy
US20100156670A1 (en) 2008-12-22 2010-06-24 International Business Machines Corporation Preemptive variable rate travel fees
US20100201505A1 (en) 2007-07-10 2010-08-12 Souroush Honary Occupancy Declaration/Verification For Passenger Transport Conveyances
US20100268449A1 (en) 2009-04-17 2010-10-21 Kyte Feng Route planning apparatus and method for navigation system
US20110071721A1 (en) * 2008-03-01 2011-03-24 Gilfillan Graham B Systems and methods for obtaining emissions offset credits
US20110082797A1 (en) 2009-10-01 2011-04-07 International Business Machines Corporation Vehicle usage-based tolling privacy protection architecture
US20110087525A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Environmental stewardship based on driving behavior
US20110087524A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Determining travel routes by using fee-based location preferences
US20110087430A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Determining travel routes by using auction-based location preferences
US7966221B1 (en) 2005-06-16 2011-06-21 Amdocs Software Systems Limited System, method and computer program product for dynamic pricing
US20110166958A1 (en) 2010-01-05 2011-07-07 International Business Machines Corporation Conducting route commerce from a central clearinghouse

Patent Citations (141)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4336522A (en) 1979-10-15 1982-06-22 Graham Kenneth G Vehicle seat-occupancy recorder
US5086389A (en) 1990-05-17 1992-02-04 Hassett John J Automatic toll processing apparatus
US5489777A (en) 1990-12-26 1996-02-06 Denver Seminary Apparatus for remote analysis of vehicle emissions using reflective thermography
US5864831A (en) 1993-02-17 1999-01-26 Daimler Benz Ag Device for determining road tolls
US5920057A (en) 1993-06-22 1999-07-06 Vos Verkehrs-Optimierungs-System Gmbh & Co. Kg Process and device for measuring the occupancy in passenger transportation means
US5717389A (en) 1994-01-28 1998-02-10 Detemobil Deutsche Telekom Mobilnet Gmbh Method of determining toll charges for vehicles using a traffic route
US5583765A (en) 1994-08-23 1996-12-10 Grumman Aerospace Corporation Remote system for monitoring the weight and emission compliance of trucks and other vehicles
US5532690A (en) 1995-04-04 1996-07-02 Itt Corporation Apparatus and method for monitoring and bounding the path of a ground vehicle
US5694322A (en) 1995-05-09 1997-12-02 Highwaymaster Communications, Inc. Method and apparatus for determining tax of a vehicle
US6738697B2 (en) 1995-06-07 2004-05-18 Automotive Technologies International Inc. Telematics system for vehicle diagnostics
US20080161989A1 (en) 1995-06-07 2008-07-03 Automotive Technologies International, Inc. Vehicle Diagnostic or Prognostic Message Transmission Systems and Methods
US5825007A (en) 1996-05-06 1998-10-20 Jesadanont; Mongkol Automatic non-computer network no-stop collection of expressway tolls by prepaid cards and method: pay according to category of vehicle and the distance it travels
US6018699A (en) 1996-06-04 2000-01-25 Baron Services, Inc. Systems and methods for distributing real-time site specific weather information
US6234390B1 (en) 1996-07-26 2001-05-22 Sachsenring Automobiltechnick Ag Process for acquiring and/or paying a fee for exhaust pollutants and a motor vehicle with an exhaust pollutant set which operates using this process
DE19634340A1 (en) 1996-08-24 1998-02-26 Bosch Gmbh Robert Method and recipient of information for road use fees and recipients
US5892463A (en) 1996-09-05 1999-04-06 Mitsubishi Denki Kabushiki Kaisha Mobile navigation system
US6104299A (en) 1997-01-09 2000-08-15 Schlumberger Systemes Device for monitoring pollution caused by motor vehicles in an urban area
US6078895A (en) 1997-08-20 2000-06-20 Samsung Electronics Co., Ltd. Technique for showing running time by sections on tollway
US20080140318A1 (en) 1997-10-22 2008-06-12 Intelligent Technologies International, Inc. Weather Monitoring Techniques
US6405132B1 (en) 1997-10-22 2002-06-11 Intelligent Technologies International, Inc. Accident avoidance system
US7127413B1 (en) 1998-01-23 2006-10-24 Toyota Jidosha Kabushiki Kaisha Charge processing device charge processing system and charge processing card
US6959282B2 (en) 1998-10-09 2005-10-25 Toyota Jidosha Kabushiki Kaisha Charging device for transferring information relating to the collection of a toll on a moving body
JP2000172892A (en) 1998-12-08 2000-06-23 Omron Corp Vehicle charge calculating system
US20020072963A1 (en) 1999-03-09 2002-06-13 Jonge Wiebren De Traffic information & pricing (TIP) system
US6696981B1 (en) 1999-04-05 2004-02-24 Honda Giken Koyo Kabushiki Kaisha Apparatus for managing entry and exit of a shared vehicle
US20020049630A1 (en) 1999-04-28 2002-04-25 Yasuyuki Furuta Charging system
US6845362B2 (en) 1999-04-28 2005-01-18 Toyota Jidosha Kabushiki Kaisha Charging system which carries out data processing for fee payment
US20050001739A1 (en) 1999-08-24 2005-01-06 Terumasa Sudou Road traffic weather-monitoring system and self-luminous road sign system
US6525673B1 (en) 1999-08-30 2003-02-25 Bernard Feldman Expressway control system
JP2001101561A (en) 1999-09-29 2001-04-13 Koito Ind Ltd Pollutant quantity estimating device, pollutant quantity predicting device, and road traffic controller using them
US20080120024A1 (en) 1999-10-19 2008-05-22 American Calcar Inc. Technique for effective navigation based on user preferences
US20020115410A1 (en) 1999-11-25 2002-08-22 Fujitsu Limited Portable terminal
US20050256762A1 (en) 2000-03-27 2005-11-17 Yair Dar Vehicle related services system and methodology
US7908149B2 (en) * 2000-03-27 2011-03-15 Pdm Co. Ltd. Vehicle related services system and methodology
JP2001283377A (en) 2000-03-29 2001-10-12 Omron Corp Information processor and its method
US20010037174A1 (en) 2000-04-04 2001-11-01 Dickerson Stephen L. Communications and computing based urban transit system
JP2002032893A (en) 2000-07-18 2002-01-31 Mitsubishi Heavy Ind Ltd Road traffic amount control method, and system therefor
US6356838B1 (en) 2000-07-25 2002-03-12 Sunil Paul System and method for determining an efficient transportation route
US20080129548A1 (en) 2000-08-10 2008-06-05 Firestone Paul A System and method for identifying vehicles and collecting fees for vehicle uses of land-ways, sea-ways and air-ways
US20040039517A1 (en) 2000-09-06 2004-02-26 Alfred Biesinger Integrated traffic monitoring system
US6411889B1 (en) 2000-09-08 2002-06-25 Mitsubishi Denki Kabushiki Kaisha Integrated traffic monitoring assistance, and communications system
US20050024189A1 (en) 2000-09-26 2005-02-03 Weber James R. Action recommendation system for a mobile vehicle
US7053792B2 (en) 2000-09-29 2006-05-30 Aisin Seiki Kabushiki Kaisha Monitoring system for automatic charging apparatus for vehicle
US6843101B2 (en) 2000-10-09 2005-01-18 Hoek Bertil CO2 sensor
US6700504B1 (en) 2000-11-01 2004-03-02 Navigation Technologies Corp. Method and system for safe emergency vehicle operation using route calculation
US7426489B2 (en) 2000-11-01 2008-09-16 International Carbon Bank And Exchange, Inc. Method and system for banking and exchanging emission reduction credits
US20020065604A1 (en) 2000-11-30 2002-05-30 Toyota Jidosha Kabushiki Kaisha Route guide apparatus and guidance method
US6603405B2 (en) 2000-12-05 2003-08-05 User-Centric Enterprises, Inc. Vehicle-centric weather prediction system and method
US20020084917A1 (en) 2000-12-28 2002-07-04 Hauptman Benjamin J. Method and apparatus for reducing traffic congestion
US20020103769A1 (en) 2001-01-29 2002-08-01 International Business Machines Corporation System and method for automatically adjusting merchandise pricing at a service-oriented interface terminal based upon the quantity of users present at the terminal
US20060173579A1 (en) 2001-02-07 2006-08-03 Desrochers Eric M Air quality monitoring systems and methods
US20060136291A1 (en) 2001-02-15 2006-06-22 Hitachi, Ltd. Vehicle managing method
US20080221948A1 (en) 2001-02-28 2008-09-11 Digonex Technologies, Inc. Dynamic pricing of items based on number of items sold during a time period
US20040119609A1 (en) 2001-03-07 2004-06-24 Lawrence Solomon Traffic control system with road tariff depending on the congestion level
US20030037538A1 (en) 2001-08-16 2003-02-27 Rendahl Craig S. Catalytic converter function detection
US20030040944A1 (en) 2001-08-22 2003-02-27 Hileman Ryan M. On-demand transportation system
US20030065630A1 (en) 2001-10-02 2003-04-03 International Business Machines Corporation Adjusting an amount owed for fueling based on vehicle characteristics
US6604045B2 (en) 2001-11-01 2003-08-05 Nissan Motor Co., Ltd. Navigation system, data server, traveling route establishing method and information providing method
US6693555B1 (en) 2001-12-11 2004-02-17 Koninklijke Philips Electronics N.V. Automatic setting of variable speed limit
US20030110075A1 (en) 2001-12-12 2003-06-12 Pioneer Corporation Toll collection system, its mobile terminal and toll processing apparatus, terminal processing program for the mobile terminal, and record medium recording the terminal processing program
US20030115095A1 (en) 2001-12-18 2003-06-19 Fujitsu Limited Toll road toll paying method and apparatus using a portable terminal, and a storage medium thereof
US7308358B2 (en) 2002-03-07 2007-12-11 Increment P Corporation Navigator, navigation system, navigation method, data processing apparatus, data processing method, program thereof, and recording medium thereof
US20030191568A1 (en) 2002-04-09 2003-10-09 Breed David S. Method and system for controlling a vehicle
US20040049424A1 (en) 2002-06-21 2004-03-11 Murray Thomas A. System and method for facilitating ridesharing
US7343341B2 (en) 2002-07-20 2008-03-11 Chicago Climate Exchange, Inc. Systems and methods for trading emission reductions
US20050246190A1 (en) 2002-07-20 2005-11-03 Richard Sandor Systems and methods for trading emission reductions
US7398924B2 (en) 2002-08-22 2008-07-15 International Business Machines Corporation Variable rate toll system
US20070203642A1 (en) 2002-10-21 2007-08-30 Johnson Controls Technology Company Point of Interest Display System
US20040075582A1 (en) 2002-10-21 2004-04-22 Terry Bergan Variable speed limit system
US20050278214A1 (en) 2002-10-25 2005-12-15 Yoshiaki Takida Toll road charge collection system using artificial satellite, charge collecting machine, and charge collecting method
US20040093264A1 (en) 2002-11-07 2004-05-13 Tessei Shimizu Eco-driving diagnostic system and method, and business system using the same
JP2004157842A (en) 2002-11-07 2004-06-03 Nec Corp Eco drive diagnostic system and its method and business system using the same
US7215255B2 (en) 2003-01-21 2007-05-08 Bernard Grush Method and apparatus for a satellite positioning-based metering system for use in transport-related applications
US7415418B2 (en) 2003-02-10 2008-08-19 South Dakota School Of Mines And Technology Method and apparatus for generating standardized environmental benefit credits
US20060278705A1 (en) 2003-02-21 2006-12-14 Accenture Global Services Gmbh Electronic Toll Management and Vehicle Identification
US20040167861A1 (en) 2003-02-21 2004-08-26 Hedley Jay E. Electronic toll management
US20040212518A1 (en) 2003-02-26 2004-10-28 Koji Tajima System for notifying tool charge information
US20050003802A1 (en) 2003-07-02 2005-01-06 Joseph Joseph System for managing traffic patterns using cellular telephones
US20050049781A1 (en) 2003-08-28 2005-03-03 General Motors Corporation Method and system for providing a carpool service using a telematics system
EP1519288A1 (en) 2003-09-25 2005-03-30 Nagravision S.A. Car-pooling system and process and communication device for carrying out the process
US20070100687A1 (en) 2003-11-26 2007-05-03 Matsushita Electric Industrial Co., Ltd. Vehicle management system
US20050168351A1 (en) 2004-01-26 2005-08-04 Denso Corporation Device and system for toll payment
US20050187820A1 (en) 2004-02-23 2005-08-25 Krishna Mohan Participating in an incentive program using a portable memory device
US7003398B2 (en) 2004-02-24 2006-02-21 Avaya Technology Corp. Determining departure times for timetable-based trips
US20060015394A1 (en) 2004-07-15 2006-01-19 Sorensen Roger G Licensed driver detection for high occupancy toll lane qualification
US20060155486A1 (en) 2004-10-07 2006-07-13 Walsh Alicia M Computer-implemented system and method for analyzing mixtures of gases
US7375648B1 (en) 2004-10-28 2008-05-20 Efkon Usa, Inc. Vehicle occupancy identification system
US20050179563A1 (en) 2005-03-14 2005-08-18 Kelley Kalon L. Motor vehicle occupancy signaling system
US20060255967A1 (en) 2005-04-22 2006-11-16 Woo Henry S Y Open road vehicle emissions inspection
US7966221B1 (en) 2005-06-16 2011-06-21 Amdocs Software Systems Limited System, method and computer program product for dynamic pricing
US7385525B2 (en) 2005-07-07 2008-06-10 Mark Iv Industries Corporation Dynamic timing adjustment in an electronic toll collection system
US20070061057A1 (en) 2005-08-26 2007-03-15 Palo Alto Research Center Incorporated Vehicle network advertising system
US20070063858A1 (en) 2005-09-20 2007-03-22 Tzong-Sheng Lee Multi-function wireless detecting device
US20070106465A1 (en) 2005-10-10 2007-05-10 Tomtom International B.V. Method of planning a route to a destination
US20070083322A1 (en) 2005-10-11 2007-04-12 Van Ee Jonathan H Freeway optimization program
US20070131864A1 (en) 2005-12-08 2007-06-14 Ellis Mark T System and method for detecting and remediating contamination
US20070135990A1 (en) 2005-12-08 2007-06-14 Seymour Shafer B Navigation route information for traffic management
US20070260393A1 (en) 2006-05-04 2007-11-08 Abernethy Michael N Jr Method and process for enabling advertising via landmark based directions
US20070271034A1 (en) 2006-05-17 2007-11-22 Perry Patrick E Adaptive route planning for gps-based navigation
US20070268140A1 (en) 2006-05-19 2007-11-22 Wai-Cheung Tang Method of enabling two-state operation of electronic toll collection system
US20070271035A1 (en) 2006-05-22 2007-11-22 Arne Stoschek Navigation system for a motor vehicle, method for operating a navigation system and motor vehicle including a navigation system
US7320430B2 (en) 2006-05-31 2008-01-22 International Business Machines Corporation Variable rate toll system
US20070278300A1 (en) 2006-05-31 2007-12-06 Christopher James Dawson Variable rate toll system
US20080208680A1 (en) 2006-06-06 2008-08-28 Ergonotech Inc DriveOn Pay(TM) as WiMAX-compatible Menu-Driven Dashtop Mobile Payment Platform
US20070299607A1 (en) 2006-06-27 2007-12-27 Verizon Laboratories Inc. Driving directions with landmark data
US20080091341A1 (en) 2006-06-27 2008-04-17 Microsoft Corporation Route monetization
US20080021723A1 (en) 2006-07-24 2008-01-24 Devarakonda Murali K Shared multi-tenant commuting management
US20080033644A1 (en) 2006-08-03 2008-02-07 Bannon Sean A Navigation Routing System Having Environmentally Triggered Routing
US20080148816A1 (en) 2006-12-22 2008-06-26 Groves Bruce D Air monitoring system and method
US20080175438A1 (en) 2007-01-23 2008-07-24 Jai Pulnix, Inc. High occupancy vehicle (HOV) lane enforcement
US20080195428A1 (en) 2007-02-12 2008-08-14 O'sullivan Sean Shared transport system and service network
US20080236141A1 (en) 2007-03-30 2008-10-02 Xinsheng Peng Method and system for automatically inspecting and registering automotive exhaust emission data
AU2007100542A4 (en) 2007-06-20 2007-12-20 Birns, Gideon Mr Offset Products
US20090018902A1 (en) 2007-07-09 2009-01-15 Jannine Miller Commuter credits system and method
US20100201505A1 (en) 2007-07-10 2010-08-12 Souroush Honary Occupancy Declaration/Verification For Passenger Transport Conveyances
US7580808B2 (en) * 2007-09-11 2009-08-25 Gm Global Technology Operations, Inc. Onboard trip computer for emissions subject to reduction credits
WO2009065638A1 (en) 2007-11-24 2009-05-28 Routerank Ltd Personalized real-time location-based travel management
US20090210261A1 (en) 2008-02-20 2009-08-20 Rearden Commerce, Inc. System and Method for Multi-Modal Travel Shopping
US20110071721A1 (en) * 2008-03-01 2011-03-24 Gilfillan Graham B Systems and methods for obtaining emissions offset credits
US20090222338A1 (en) 2008-03-03 2009-09-03 Hamilton Ii Rick A Monitoring and Rewards Methodologies for "Green" Use of Vehicles
US20090287408A1 (en) 2008-05-18 2009-11-19 Volkswagen Of America, Inc. Method for Offering a User Reward Based on a Chosen Navigation Route
US20090295599A1 (en) 2008-06-02 2009-12-03 Electronic Transaction Consultants Dynamic pricing for toll lanes
US20100070128A1 (en) 2008-09-15 2010-03-18 Microsoft Corporation vehicle operation by leveraging traffic related data
US20100085213A1 (en) 2008-10-06 2010-04-08 Richard Turnock High occupancy vehicle status signaling using electronic toll collection infrastructure
US20100106567A1 (en) 2008-10-16 2010-04-29 Mcnew Justin Paul System and method for electronic toll collection based on vehicle load
US20100153191A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Variable toll fee selection from geographic indicia
US20100153192A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Travel fee rate setting based upon travel mode and convenience
US7979292B2 (en) 2008-12-17 2011-07-12 International Business Machines Corporation Travel fee rate setting based upon travel mode and convenience
US20100153125A1 (en) 2008-12-17 2010-06-17 International Business Machines Corporation Random and deterministic travel fees
US20100153193A1 (en) 2008-12-17 2010-06-17 International Business Corporation Variable-rate transport fees based on hazardous travel conditions
US20100156670A1 (en) 2008-12-22 2010-06-24 International Business Machines Corporation Preemptive variable rate travel fees
US20100161392A1 (en) 2008-12-22 2010-06-24 International Business Machines Corporation Variable rate travel fee based upon vehicle occupancy
US7969325B2 (en) 2008-12-22 2011-06-28 International Business Machines Corporation Preemptive variable rate travel fees
US20100161391A1 (en) 2008-12-22 2010-06-24 International Business Corporation Variable rate transport fees based on vehicle exhaust emissions
US8055534B2 (en) 2008-12-22 2011-11-08 International Business Machines Corporation Variable rate travel fee based upon vehicle occupancy
US20100268449A1 (en) 2009-04-17 2010-10-21 Kyte Feng Route planning apparatus and method for navigation system
US20110082797A1 (en) 2009-10-01 2011-04-07 International Business Machines Corporation Vehicle usage-based tolling privacy protection architecture
US20110087525A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Environmental stewardship based on driving behavior
US20110087524A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Determining travel routes by using fee-based location preferences
US20110087430A1 (en) 2009-10-14 2011-04-14 International Business Machines Corporation Determining travel routes by using auction-based location preferences
US20110166958A1 (en) 2010-01-05 2011-07-07 International Business Machines Corporation Conducting route commerce from a central clearinghouse

Non-Patent Citations (80)

* Cited by examiner, † Cited by third party
Title
Aman et al.; Evaluation of Congestion Pricing for Management Highway in Seattle; 6 pages.
Amendment filed Dec. 22, 2011 in response to Office Action (Mail Date Sep. 30, 2011) for U.S. Appl. No. 12/336,754, filed Dec. 17, 2008.
Amendment filed Dec. 27, 2010 in response to Notice of non-compliant or non-responsive amendment (Mail Date Nov. 29, 2010) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Amendment filed Jan. 28, 2011 in response to Office Action (Mail Date Oct. 29, 2010) for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Amendment filed Jan. 31, 2011 in response to Notice of non-compliant or non-responsive amendment (Mail Date Jan. 10, 2011) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Amendment filed Jun. 8, 2011 in response to Final Office Action (Mail Date Apr. 13, 2011) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Amendment filed Mar. 15, 2012 in response to Office Action (Mail Date Nov. 16, 2011) for U.S. Appl. No. 12/652,127, filed Jan. 5, 2010.
Amendment filed Nov. 19, 2010 in response to Office Action (Mail Date Aug. 19, 2010) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Amendment filed Oct. 29, 2010 in response to Office Action (Mail Date Aug. 2, 2010) for U.S. Appl. No. 12/341,009, filed Dec. 22, 2008.
Amendment filed Oct. 29, 2010 in response to Office Action (Mail Date Jul. 30, 2010) for U.S. Appl. No. 12/336,820, filed Dec. 17, 2008.
Appeal Brief filed Sep. 2, 2011 for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Bjerde et al.; High Level Group on Transport Infrastructure Charging Final Report on Options for Charging Users Directly for Transport Infrastructure Operating Costs; Sep. 9, 1999; 27 pages.
Bob Poole in WSJ on getting rid of Toll Plazas [online]; TollRoadNews; Nov. 6, 2007 [retrieved on Nov. 1, 2010]. Retrieved from the Internet ; 8 pages.
Bob Poole in WSJ on getting rid of Toll Plazas [online]; TollRoadNews; Nov. 6, 2007 [retrieved on Nov. 1, 2010]. Retrieved from the Internet <URL: http//www.tollroadnews.com/node/3232>; 8 pages.
Capturing traffic data using GPS-enabled cell phones Machines Like Us Biog [online]; originally posted Feb. 10, 2008 [retrieved on Feb. 28. 2012]. Retrieved from the Internet <URL: http://web.archive.org/web/20081013102040/http://www.machineslikeus.com/cms/capturing-traffic-data-using-GPS-enable-cell-phones.html>; 6 pages.
Carbon offset [online]; Wikipeida; [retrieved on Feb. 29, 2012]. Retrieved from the Internet ; 16 pages.
Carbon offset [online]; Wikipeida; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL: http://en.wikipedia.org/wiki/Carbon—offset>; 16 pages.
Carr, Brian; Fuel Economy Tip-Tailgating Doesn't Help; Daily Fuel Economy Tip; May 27, 2006; [retrieved on Jan. 5, 2012]. Retrieved from the Internet: ; 6 pages.
Carr, Brian; Fuel Economy Tip-Tailgating Doesn't Help; Daily Fuel Economy Tip; May 27, 2006; [retrieved on Jan. 5, 2012]. Retrieved from the Internet: <URL: http://www.dailyfueleconomytip.com/driving-habits/fuel-economy-tip-tailgating-doesnt-help/>; 6 pages.
Dynamic Routing Based on Restricted Area and Policies; IBM; IP.com Technical Disclosure; IPCOM000177536D; Dec. 17, 2008; 5 pages.
Electronic Tolling/Congestion Pricing; U.S. Department of Transportation Federal Highway Administration; 4 pages.
Examiner's Answer (Mail Date Nov. 25, 2011) to Appeal Brief filed Sep. 2, 2011 for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Final Office Action ( Mail Date Apr. 13, 2011) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Final Office Action (Mail Date Apr. 8, 2011) for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Final Office Action (Mail Date Nov. 12, 2010) for U.S. Appl. No. 12/341,009, filed Dec. 22, 2008.
Final Office Action (Mail Date Nov. 26, 2010) for U.S. Appl. No. 12/336,820, filed Dec. 17, 2008.
Final Office Action (Mail Date Oct. 10, 2012) for U.S. Appl. No. 12/578,627; Filing Date Oct. 14, 2009; Art Unit 3622, Confirmation No. 6714.
Florida's Turnpike Offers Important Hurricane Evacuation Tips, Florida's Turnpike Enterprise Press Release, Jun. 1, 2006; 2 pages.
Get out of the jam: Avoid traffic with TeleNav GPS Navigator [online]; [retrieved on Feb. 28, 2012]. Retrieved from the Internet ; 2 pages.
Get out of the jam: Avoid traffic with TeleNav GPS Navigator [online]; [retrieved on Feb. 28, 2012]. Retrieved from the Internet <URL: http://www.telenav.com/products/tn/traffic.html>; 2 pages.
Holmes, Tiffany; Eco-visualization: Combining Art and Technology to Reduce Energy Consumption; C&C'07, Jun. 13-15, 2007, Washington, DC, USA; pp. 153-162.
IBM launches ‘green’ consulting services [online]; iNSnet Foundation Sep. 29, 2008; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL: http://web.archive.org/web/20081002035154/http://www.insnet.org/ins—headlines.rsml?id=23782&photo=&title=IBM%20launches%20%green%27%20consulting%services>; 3 pages.
IBM launches 'green' consulting services [online]; iNSnet Foundation Sep. 29, 2008; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL: http://web.archive.org/web/20081002035154/http://www.insnet.org/ins-headlines.rsml?id=23782&photo=&title=IBM%20launches%20%green%27%20consulting%services>; 3 pages.
Komanoff Charles: Auto Fee NYC: A Roadway Pricing Primer Transportation Alternatives Jul./Aug. 1994 Issue, 4 pages.
Komanoff, Charles; Environmental Consequences of Road Pricing; A Scoping Paper for The Energy Foundation; Apr. 1997; 24 pages.
Lindgaard, Gitte. Making the Business Our Business: One Path to Value-Added HCI, Human Oriented Technology Lab, Carleton University, Ottawa, Ontario, Canada; Interactions May and Jun. 2004, pp. 13-17.
Mao et al.; Route Flap Damping Exacerbates Internet Routing Convergence; SIGCOMM'02, Aug. 19-23, 2002, Pittsburgh, PA, USA; pp. 221-233.
Method for Construction-Induced Pollution Amelioration via Carbon Offset; IBM; IP.com Technical Disclosure IPCOM000183626D; May 29, 2009; 7 pages.
Method for Dynamic Road Status Information Conveyance Under Inclement Conditions; IBM; IP.com Technical Disclosure; IPCOM000177535D; Dec. 17, 2008; 5 pages.
Mobile Prompts for Detours Help Reduce Commute Time for Drivers [online]; AT&T News Release; San Antonio, Texas, Jun. 7, 2007, [retrieved on Feb. 28, 2012]. Retrieved from the Internet ; 2 pages.
Mobile Prompts for Detours Help Reduce Commute Time for Drivers [online]; AT&T News Release; San Antonio, Texas, Jun. 7, 2007, [retrieved on Feb. 28, 2012]. Retrieved from the Internet <URL: http://www.att.com/gen/press-room?pid=4800&cdvn=news&newsarticleid=23918>; 2 pages.
Notice of Abandonment (Mail Date Jun. 10, 2011) for U.S. Appl. No. 12/341,009, filed Dec. 22, 2008.
Notice of Abandonment (Mail Date Jun. 21, 2011) for U.S. Appl. No. 12/336,820; filed Dec. 17, 2008.
Notice of Allowance (Mail Date Feb. 22, 2011) for U.S. Appl. No. 12/341,054, filed Dec. 22, 2008.
Notice of Allowance (Mail Date Jan. 17, 2012) for U.S. Appl. No. 12/578,663, filed Oct. 14, 2009.
Notice of Allowance (Mail Date Jan. 24, 2012) for U.S. Appl. No. 12/336,754, filed Dec. 17, 2008.
Notice of Allowance (Mail Date Jun. 29, 2011) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Notice of Allowance (Mail Date Mar. 7, 2011) for U.S. Appl. No. 12/336,742, filed Dec. 17, 2008.
Notice of Appeal filed Jul. 6, 2011 in response to Final Office Action (Mail Date Apr. 8, 2011) for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Notice of non-compliant or non-responsive amendment (Mail Date Jan. 10, 2011) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Notice of non-compliant or non-responsive amendment (Mail Date Nov. 29, 2010) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Office Action (Mail Date Apr. 3, 2012) for U.S. Appl. No. 12/652,127, filed Jan. 5, 2010.
Office Action (Mail Date Apr. 30, 2012) for U.S. Appl. No. 12/578,627, filed Oct. 14, 2009.
Office Action (Mail Date Aug. 19, 2010) for U.S. Appl. No. 12/341,087, filed Dec. 22, 2008.
Office Action (Mail Date Aug. 2, 2010) for U.S. Appl. No 12/341,009, filed Dec. 22, 2008.
Office Action (Mail Date Jul. 30, 2010) for U.S. Appl. No. 12/336,820, filed Dec. 17, 2008.
Office Action (Mail Date Nov. 16, 2011) for U.S. Appl. No. 12/652,127, filed Jan. 5, 2010.
Office Action (Mail Date Oct. 29, 2010) for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Office Action (Mail Date Sep. 30, 2011) for U.S. Appl. No. 12/336,754, filed Dec. 17, 2008.
Peak-time Driving Tolls Limit Pollution, Traffic [online]; AzCentral.com; [retrieved on Aug. 14, 2008] Retrieved from the Internet ; 1 page.
Peak-time Driving Tolls Limit Pollution, Traffic [online]; AzCentral.com; [retrieved on Aug. 14, 2008] Retrieved from the Internet <URL: http://www.azcentral.com/arizonarepublic/local/articles/2008/08/08/20080809earthtalk080>; 1 page.
Piguet et al.; Extremely Low-Power Logic; Proceedings of the Design, automation and Test in Europe Conference and Exhibition 2004 IEEE; 6 pages.
Priewasser, Reinhold; Ecological sustainability and personal behavior relations demonstrated by the decision-making process of selecting a certain transportation mean; Environmental Management and Health, vol. 10 Issue 3; 1999; 8 pages.
Real-Time Ridesharing Launches on SR 520 to Save Commuters Time, Money; Business Wire; Jan. 27, 2011; 3 pages.
Regan, Keith; Blue Pushes Green With Carbon Offset Modeler [online]; E-Commerce Times (Part of the ECT News Network) originally posted May 22, 2008; [retrieved on Feb. 29, 2012]. Retrieved from the Internet ; 3 pages.
Regan, Keith; Blue Pushes Green With Carbon Offset Modeler [online]; E-Commerce Times (Part of the ECT News Network) originally posted May 22, 2008; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL:http://www.crmbuyer.com/story/63124.html>; 3 pages.
Reply Brief filed Jan. 24, 2012 in response to Examiner's Answer (Mail Date Nov. 25, 2011) to Appeal Brief filed Sep. 2, 2011 for U.S. Appl. No. 12/336,587, filed Dec. 17, 2008.
Request for Continued Examination filed Apr. 5, 2012 for U.S. Appl. No. 12/490,617, filed Jun. 24, 2009.
State Toll Exemption Policy [online]; [retrieved on Nov. 8, 2010]. Retrieved from the Internet , Texas Department of Transportation; 1 page.
State Toll Exemption Policy [online]; [retrieved on Nov. 8, 2010]. Retrieved from the Internet <URL: https://www.txdot.gob/cgi-bin/pfpage.plx>, Texas Department of Transportation; 1 page.
Super-powerful traffic and travel info; Virginia Department of Transportation; 2010 [online]; [retrieved on Feb. 29, 2012]. Retrieved from the Internet ; 1 page.
Super-powerful traffic and travel info; Virginia Department of Transportation; 2010 [online]; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL: http://www.511virginia.org/Default.aspx?r=1>; 1 page.
Techno junkies meet plow truck operators for safety, security and keeping the honest man, you know, honest; Snowplow News [online]; [retrieved on Feb. 29, 2012]. Retrieved from the Internet ; 2 pages.
Techno junkies meet plow truck operators for safety, security and keeping the honest man, you know, honest; Snowplow News [online]; [retrieved on Feb. 29, 2012]. Retrieved from the Internet <URL: http://web.archive.org/web/20081226183017/http://www.snowplownews.com/location-commun.html>; 2 pages.
Tomaz et al.; TRA; Modeling the spatial parameters for dynamic road pricing: Transport Research Arena Europe 2008; Ljubljana; 7 pages.
Vehicle Route Planning Based on Real-Time Pollution Monitoring; IBM; IP.com Technical Disclosure: IPCOM000175555D; Oct. 13, 2008, 3 pages.
Whoriskey, Peter; Beating Traffic by Joining the Network [online]; [retrieved on Feb. 28, 2012]. Retrieved from the Internet ; 2 pages.
Whoriskey, Peter; Beating Traffic by Joining the Network [online]; [retrieved on Feb. 28, 2012]. Retrieved from the Internet <URL: http://www.washingtonpost.com/wp-dyn/content/story/2008/03/24/ST2008032403495.html>; 2 pages.
Xu et al.; A Serializability Violation Detector for Shared-Memory Server Programs; PLDI'05, Jun. 12-15, 2005, Chicago, Illinois, USA; 14 pages.
Yglesias, Matt; I-95 Express Lane Pricing; Apr. 23, 20011; URL http://counterpolicies.com/tag/toll-roads; retrieved from the Internet Jan. 12, 2012; 4 pages.

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8812352B2 (en) 2009-10-14 2014-08-19 International Business Machines Corporation Environmental stewardship based on driving behavior
US9909885B2 (en) 2009-10-14 2018-03-06 International Business Machines Corporation Determining a travel route
US20120323772A1 (en) * 2011-06-15 2012-12-20 Joseph Michael Systems and methods for monitoring, managing, and facilitating transactions involving vehicles
US8781958B2 (en) * 2011-06-15 2014-07-15 Joseph Michael Systems and methods for monitoring, managing, and facilitating transactions involving vehicles
US8647596B1 (en) * 2012-12-28 2014-02-11 The Invention Science Fund I Llc Systems and methods for managing emissions from an engine of a vehicle
US11276253B2 (en) * 2016-04-05 2022-03-15 Affin As Present invention concerns a system for controlling traffic

Also Published As

Publication number Publication date
TW201120675A (en) 2011-06-16
US20100332241A1 (en) 2010-12-30

Similar Documents

Publication Publication Date Title
US8478603B2 (en) Method and system for monitoring and reporting to an operator greenhouse gas emission from a vehicle
US8280646B2 (en) Vehicle CO2 emission offsetting system and method
US10518655B2 (en) System and method for electric vehicle mobile payment
CN101387577B (en) Onboard trip computer for emissions subject to reduction credits
CA2823152C (en) Systems and methods for utilization of risk zones
Demir et al. The bi-objective pollution-routing problem
US10332208B1 (en) Total cost of vehicle ownership
US9564065B2 (en) Fuel savings training needs prediction and alert system
US9557207B2 (en) System and method for determining volume of fluid in a tank
US8306837B2 (en) Shipment option selection method
US20150332411A1 (en) Insurance Claims and Rate Evasion Fraud System Based Upon Vehicle History
US20070213992A1 (en) Verifying a usage of a transportation resource
WO2020103560A1 (en) Risk control method and apparatus, and server and storage medium
CA2489800A1 (en) Systems and methods for providing business intelligence based on shipping information
WO2010045122A2 (en) Method and system for tracking and managing destruction, reconstitution, or reclamation of regulated substances
US20130151588A1 (en) Vehicle to driver chronicle system
US11720862B2 (en) System and method for generating maintenance actions of a vehicle based on trained machine learning of monitored vehicle data
CN110544055B (en) Order processing method and device
US20110320368A1 (en) Determining environmental impact
Miller et al. How does electronic monitoring affect hours-of-service compliance?
Niemeijer et al. A greener last mile: Analyzing the carbon emission impact of pickup points in last-mile parcel delivery
WO2020121445A1 (en) Fuel evaluation device, control method therefor, and program
CN114022255B (en) Bill order processing method, device, equipment and storage medium
US11257015B2 (en) Impact network
CN117611248A (en) Fraud detection electronic coupon early warning method and system based on decision tree

Legal Events

Date Code Title Description
AS Assignment

Owner name: INTERNATIONAL BUSINESS MACHINES CORPORATION, NEW Y

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:BOSS, GREGORY JENSEN;HAMILTON, RICK ALLEN, II;MARTINO, JACQUELYN ANNETTE;AND OTHERS;SIGNING DATES FROM 20090622 TO 20090623;REEL/FRAME:022867/0688

REMI Maintenance fee reminder mailed
LAPS Lapse for failure to pay maintenance fees
STCH Information on status: patent discontinuation

Free format text: PATENT EXPIRED DUE TO NONPAYMENT OF MAINTENANCE FEES UNDER 37 CFR 1.362

FP Lapsed due to failure to pay maintenance fee

Effective date: 20170702